Academic literature on the topic 'Google Scholar Citations'

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Journal articles on the topic "Google Scholar Citations"

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Ebrahim, Nader Ale, Hadi Salehi, Mohamed Amin Embi, Mahmoud Danaee, Marjan Mohammadjafari, Azam Zavvari, Masoud Shakiba, and Masoomeh Shahbazi-Moghadam. "Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers." Modern Applied Science 8, no. 5 (August 5, 2014): 63. http://dx.doi.org/10.5539/mas.v8n5p63.

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This study uses citation analysis from two citation tracking databases, Google Scholar (GS) and ISI Web of Science, in order to test the correlation between them and examine the effect of the number of paper versions on citations. The data were retrieved from the Essential Science Indicators and Google Scholar for 101 highly cited papers from Malaysia in the field of engineering. An equation for estimating the citation in ISI based on Google scholar is offered. The results show a significant and positive relationship between both citation in Google Scholar and ISI Web of Science with the number of versions. This relationship is higher between versions and ISI citations (r = 0.395, p<0.01) than between versions and Google Scholar citations (r = 0.315, p<0.01). Free access to data provided by Google Scholar and the correlation to get ISI citation which is costly, allow more transparency in tenure reviews, funding agency and other science policy, to count citations and analyze scholars’ performance more precisely.
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Loan, Fayaz Ahmad, and Shueb Sheikh. "Is Google scholar really scholarly?" Library Hi Tech News 35, no. 3 (May 8, 2018): 7–9. http://dx.doi.org/10.1108/lhtn-11-2017-0078.

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Purpose This paper aims to identify the scholarly nature of the results retrieved by the Google Scholar on the five major global problems, i.e. global warming, economic recession, terrorism, HIV AIDS and child labour. Design/methodology/approach The five terms (global warming, economic recession, terrorism, HIV AIDS and child labour) were searched into the Google Scholar database, and the first 50 retrieved hits were manually analysed to record the relevant bibliographic details. The scholarship of the results was measured by quality indices like h-index, Altmetrics and Journal Impact Factor. The Scopus – the world’s biggest abstract and citation database – was used to identify the h-index of the prolific authors, citations of articles and impact factor of journals. Findings The study reveals that Google Scholar retrieves a good number of publications on the selected global problems from reputed publishers such as Nature Publishing Group, Elsevier, Cambridge University Press, Blackwell and Sage and published from well-developed countries such as the USA, UK and Switzerland. Google Scholar mostly retrieves articles and research papers from qualitative journals having a good impact factor such as Nature, Science, The Lancet, American Journal of Public Health, The Economic Journal, Social Science and Medicine and Annals of Tourism Research. These articles and books are contributed by the reputed authors having high h-index. The journal articles and books retrieved have also a good number of citations, although such results are limited. The results prove that Google Scholar is scholarly in nature to a great extent. Research limitations/implications The findings are limited to Google Scholar only and cannot be generalized for the rest of the search tools or databases. Further, the study included only five major global problems in the study, and thus, results cannot be applicable to other areas of knowledge. Practical implications The study is a checklist to know the retrieval performance of Google Scholar in terms of quality of content. Originality/value It is the first study of its kind that takes into account the nature of content on major global problems retrieved by the Google Scholar. It is also the first study that used bibliometric analysis to evaluate the quality of results retrieved.
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Ali, Muhammad Yousuf, and Joanna Richardson. "Google Scholar Citation metrics of Pakistani LIS scholars: an overview." Global Knowledge, Memory and Communication 68, no. 4/5 (July 1, 2019): 392–412. http://dx.doi.org/10.1108/gkmc-03-2018-0025.

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Purpose The purpose of this study is to analyze the use of Google Scholar Citations’ profiling platform by library and information science (LIS) scholars in Pakistan. Design/methodology/approach Purposive sampling was used to collect Google Scholar Citations profiles between 15 November 2017 and 31 January 2018. Resultant data were analyzed in SPSS Version 21. Findings In terms of demographical data, the study results were consistent with previous studies of Pakistani LIS scholars. There were strong correlations between Google Scholar Citations metrics (publications, citations, h-index and i10-index). The results indicate that, compared with a 2011 survey of LIS academics in Pakistan, the overall uptake for this cohort remains relatively low. This cohort is not maximizing the opportunity provided by this specific online profiling system to increase research visibility. Research limitations/implications As the study was limited to those Pakistani LIS scholars who already had a profile on ResearchGate, it would be useful to broaden the research to encompass all Pakistani LIS scholars. Practical implications The role of the librarian as an adviser in scholarly communication and impact can be extended to support scholars in the adoption of new online platforms for scholarly communication and visibility. Originality/value There have been no published research studies on Google Scholar Citations metrics in the context of Pakistani LIS scholars as a whole.
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Chapman, Karen, and Alexander E. Ellinger. "An evaluation of Web of Science, Scopus and Google Scholar citations in operations management." International Journal of Logistics Management 30, no. 4 (November 11, 2019): 1039–53. http://dx.doi.org/10.1108/ijlm-04-2019-0110.

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Purpose Ongoing deliberation about how research productivity should be measured is exacerbated by extensive disparity between the number of citations for scholarly works reported by commercial academic search engines and Google Scholar (GS), the premier web crawling service for discovering research citations. Disparities identified in citation comparison studies have also led to disagreement about the value of the higher number of citations for social sciences and business scholarly articles consistently reported by GS. The purpose of this paper is to extend previous database citation comparison studies by manually analyzing a sample of unique GS citations to a leading operations management journal (i.e. citations found only in GS and not the commercial search engines) to reveal just where these additional citations are coming from. Design/methodology/approach In addition to comparing citation counts for the three databases, unique GS citation data for the sample of journal articles was manually captured and reviewed. The authors’ approach provides a much more in-depth examination of the provenance of GS citations than is found in previous studies. Findings The findings suggest that concerns about the value of unique GS citations may not be warranted since the document types for the unique GS citing documents identified in the analysis are dominated by familiar scholarly formats. Predominantly authentic and validated journal publications, dissertations, conference papers, and book and book chapters accounted for the large majority of the unique GS citations analyzed. Practical implications The study lends further credence to contentions that the use of citations reported in GS is appropriate for evaluating research impact in disciplines where other formats beyond the English-language journal article are valued. Originality/value Developing a more informed understanding of the provenance of unique GS citations in the authors’ field is important because many scholars not only aspire to publish in elite journals with high impact factors based on citation counts provided by commercial databases to demonstrate quality, but also report the larger number of citations for their publications that are reported by GS to demonstrate impact. The in-depth manual analysis suggests that GS provides a more nuanced and comprehensive representation of research impact and international scope than the commercial databases.
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Kousha, Kayvan, and Mike Thelwall. "Google Scholar citations and Google Web/URL citations: A multi-discipline exploratory analysis." Journal of the American Society for Information Science and Technology 58, no. 7 (2007): 1055–65. http://dx.doi.org/10.1002/asi.20584.

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Allo, Karmila Pare, and La Ode Ismail. "Google Scholar Metrics, Pengaruhnya pada Jurnal Ilmiah." Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan 8, no. 1 (June 27, 2020): 91. http://dx.doi.org/10.24252/kah.v8i1a10.

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Google scholar merupakan mesin pencari yang membantu akademisi untuk menelusuri karya tulis ilmiah, seperti artikel jurnal yang telah diterbitkan di mana saja. Selain itu, media ini juga dapat digunakan oleh akademisi atau jurnal ilmiah untuk mengukur metrik perkembangan sitasinya dengan membuat profil pada Google Scholar Profile. Penelitian ini akan menggambarkan; 1) metrik sitasi Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan (KAH-JIPIK), 2) jenis dokumen yang paling banyak menyitir, 3) artikel yang paling sering disitir, dan 4) manfaat yang dirasakan oleh KAH-JIPIK pada Google Scholar Metrics (GSM). Data penelitian diperoleh dari hasil wawancara dengan jurnal manajer dan GSM dari KAH-JIPIK. Ms. Excel digunakan untuk mengalkulasi dan memberikan grafik sitasi. Hasil penelitian ini menunjukkan bahwa terjadi penurunan sitiran yang diperoleh dari tahun ke tahun, jenis dokumen yang menyitir artikel Khizanah Al-Hikmah adalah jurnal, skripsi, tesis, prosiding, makalah, buku dan sumber lainnya, artikel yang paling banyak disitir adalah yang ditulis oleh Machsun Rifauddin dengan jumlah sitiran sebanyak 30. Penelitian dapat berimplikasi pada strategi untuk memaksimalkan lagi agar para pembaca tertarik untuk menyitir jurnal ini. Jurnal ini juga perlu memaksimalkan kualitas artikel yang diterimanya, khususnya yang berkaitan dengan perkembangan bidang yang berkaitan.ABSTRACTGoogle Scholar helps academicians to explore scholarly papers, such as academic articles that have been published everywhere. In addition, this tool can also be used by authors or journals to measure their citations trend by creating their own Google Scholar Profile. This research will describe; 1) Google Scholars Metrics of Khizanah al-Hikmah: Journal of Library, Information, and Archival Science (KAH-JIPIK), 2) the types of documents that have cited the most, 3) the most cited articles, and 4) the benefit of Google Scholar Metrics. The research data were obtained from interviews with its journal manager and KAH-JIPIK’s Google Scholar profile. Ms. Excel was used to help to calculate and provide citation charts. The results of this study indicate that there was a decreasing trend in citations from year to year, the types of documents citing Khizanah Al-Hikmah articles were journals, theses, proceedings, papers, books, and other sources, and the most cited article was written by Machsun Rifauddin with a total of 30 citations. This study might have strong recommendations for the journal to maximize the promotion so the readers are interested in citing the published articles. The journal also needs to maximize the quality of submitted articles, particularly related to the development of the fields.
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Doğan, Güleda, İpek Şencan, and Yaşar Tonta. "Does dirty data affect google scholar citations?" Proceedings of the Association for Information Science and Technology 53, no. 1 (2016): 1–4. http://dx.doi.org/10.1002/pra2.2016.14505301098.

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Serenko, Alexander, and John Dumay. "Citation classics published in Knowledge Management journals. Part II: studying research trends and discovering the Google Scholar Effect." Journal of Knowledge Management 19, no. 6 (October 12, 2015): 1335–55. http://dx.doi.org/10.1108/jkm-02-2015-0086.

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Purpose – The purpose of this study was to discover growing, stable and declining knowledge management (KM) research trends. Design/methodology/approach – Citations to 100 KM citation classics as identified by Serenko and Dumay (2015) were collected and analyzed for growing, stable and declining research trends. Findings – This research has two findings that were not theoretically expected. First, a majority of KM citation classics exhibit a bimodal citation distribution peak. Second, there are a growing number of citations for all research topics. These unexpected findings warranted further theoretical elaboration and empirical investigation. The analysis of erroneous citations and a five-year citation trend (2009 – 2013) reveals that the continuously growing volume of citations may result from what the authors call the Google Scholar Effect. Research limitations/implications – The results from this study open up two significant research opportunities. First, more research is needed to understand the impact Google Scholar is having on domains beyond KM. Second, more comprehensive research on the impact of erroneous citations is required because these have the most potential for damaging academic discourse and reputation. Practical implications – Researchers need to be aware of how technology is changing their profession and their citation behavior because of the pressure from the contemporary “publish or perish” environment, which prevents research from being state-of-the-art. Similarly, KM reviewers and editors need to be more aware of the pressure and prevalence of mis-citations and take action to raise awareness and to prevent mis-citations. Originality/value – This study is important from a scientometric research perspective as part of a growing research field using Google Scholar to measure the impact and power it has in influencing what gets cited and by whom.
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Saberi, Mohammad Karim, and Faezeh Ekhtiyari. "Usage, captures, mentions, social media and citations of LIS highly cited papers: an altmetrics study." Performance Measurement and Metrics 20, no. 1 (February 4, 2019): 37–47. http://dx.doi.org/10.1108/pmm-10-2018-0025.

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Purpose The purpose of this paper is to investigate the usage, captures, mentions, social media and citations of highly cited papers of Library and information science (LIS). Design/methodology/approach This study is quantitative research that was conducted using scientometrics and altmetrics indicators. The research sample consists of LIS classic papers. The papers contain highly cited papers of LIS that are introduced by Google Scholar. The research data have been gathered from Google Scholar, Scopus and Plum Analytics Categories. The data analysis has been done by Excel and SPSS applications. Findings The data indicate that among the highly cited articles of LIS, the highest score regarding the usage, captures, mentions and social media and the most abundance of citations belong to “Citation advantage of open access articles” and “Usage patterns of collaborative tagging systems.” Based on the results of Spearman statistical tests, there is a positive significant correlation between Google Scholar Citations and all studied indicators. However, only the correlation between Google Scholar Citations with capture metrics (p-value = 0.047) and citation metrics (p-value = 0.0001) was statistically significant. Originality/value Altmetrics indicators can be used as complement traditional indicators of Scientometrics to study the impact of papers. Therefore, the Altmetrics knowledge of LIS researchers and experts and practicing new studies in this field will be very important.
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Jacimovic, Jelena, Ruzica Petrovic, and Slavoljub Zivkovic. "A citation analysis of Serbian Dental Journal using Web of Science, Scopus and Google Scholar." Serbian Dental Journal 57, no. 4 (2010): 201–11. http://dx.doi.org/10.2298/sgs1004201j.

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Introduction. For a long time, The Institute for Scientific Information (ISI, now Thomson Scientific, Philadelphia, US) citation databases, available online through the Web of Science (WoS), had an unique position among bibliographic databases. The emergence of new citation databases, such as Scopus and Google Scholar (GS), call in question the dominance of WoS and the accuracy of bibliometric and citation studies exclusively based on WoS data. The aim of this study was to determine whether there were significant differences in the received citation counts for Serbian Dental Journal (SDJ) found in WoS and Scopus databases, or whether GS results differed significantly from those obtained by WoS and Scopus, and whether GS could be an adequate qualitative alternative for commercial databases in the impact assessment of this journal. Material and Methods. The data regarding SDJ citation was collected in September 2010 by searching WoS, Scopus and GS databases. For further analysis, all relevant data of both, cited and citing articles, were imported into Microsoft Access? database. Results. One hundred and fifty-eight cited papers from SDJ and 249 received citations were found in the three analyzed databases. 74% of cited articles were found in GS, 46% in Scopus and 44% in WoS. The greatest number of citations (189) was derived from GS, while only 15% of the citations, were found in all three databases. There was a significant difference in the percentage of unique citations found in the databases. 58% originated from GS, while Scopus and WoS gave 6% and 4% unique citations, respectively. The highest percentage of databases overlap was found between WoS and Scopus (70%), while the overlap between Scopus and GS was 18% only. In case of WoS and GS the overlap was 17%. Most of the SDJ citations came from original scientific articles. Conclusion. WoS, Scopus and GS produce quantitatively and qualitatively different citation counts for SDJ articles. None of the examined databases can provide a comprehensive picture and it is necessary to take into account all three available sources.
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Dissertations / Theses on the topic "Google Scholar Citations"

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Aduku, Kuku J. "Can web indicators be used to estimate the citation impact of conference papers in engineering?" Thesis, University of Wolverhampton, 2019. http://hdl.handle.net/2436/622102.

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Although citation counts are widely used to support research evaluation, they can only reflect academic impacts, whereas research can also be useful outside academia. There is therefore a need for alternative indicators and empirical studies to evaluate them. Whilst many previous studies have investigated alternative indicators for journal articles and books, this thesis explores the importance and suitability of four web indicators for conference papers. These are readership counts from the online reference manager Mendeley and citation counts from Google Patents, Wikipedia and Google Books. To help evaluate these indicators for conference papers, correlations with Scopus citations were evaluated for each alternative indicator and compared with corresponding correlations between alternative indicators and citation counts for journal articles. Four subject areas that value conferences were chosen for the analysis: Computer Science Applications; Computer Software Engineering; Building & Construction Engineering; and Industrial & Manufacturing Engineering. There were moderate correlations between Mendeley readership counts and Scopus citation counts for both journal articles and conference papers in Computer Science Applications and Computer Software. For conference papers in Building & Construction Engineering and Industrial & Manufacturing Engineering, the correlations between Mendeley readers and citation counts are much lower than for journal articles. Thus, in fields where conferences are important, Mendeley readership counts are reasonable impact indicators for conference papers although they are better impact indicators for journal articles. Google Patent citations had low positive correlations with citation counts for both conference papers and journal articles in Software Engineering and Computer Science Applications. There were negative correlations for both conference papers and journal articles in Industrial and Manufacturing Engineering. However, conference papers in Building and Construction Engineering attracted no Google Patent citations. This suggests that there are disciplinary differences but little overall value for Google Patent citations as impact indicators in engineering fields valuing conferences. Wikipedia citations had correlations with Scopus citations that were statistically significantly positive only in Computer Science Applications, whereas the correlations were not statistically significantly different from zero in Building & Construction Engineering, Industrial & Manufacturing Engineering and Software Engineering. Conference papers were less likely to be cited in Wikipedia than journal articles were in all fields, although the difference was minor in Software Engineering. Thus, Wikipedia citations seem to have little value in engineering fields valuing conferences. Google Books citations had positive significant correlations with Scopus-indexed citations for conference papers in all fields except Building & Construction Engineering, where the correlations were not statistically significantly different from zero. Google Books citations seemed to be most valuable impact indicators in Computer Science Applications and Software Engineering, where the correlations were moderate, than in Industrial & Manufacturing Engineering, where the correlations were low. This means that Google Book citations are valuable indicators for conference papers in engineering fields valuing conferences. Although evidence from correlation tests alone is insufficient to judge the value of alternative indicators, the results suggest that Mendeley readers and Google Books citations may be useful for both journal articles and conference papers in engineering fields that value conferences, but not Wikipedia citations or Google Patent citations.
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Хворостіна, Юрій В'ячеславович, Yurii Viacheslavovych Khvorostina, Артем Олександрович Юрченко, and Artem Oleksandrovych Yurchenko. "Реєстрація у наукометричній базі Google Академія як ІКТ-компетентність науковця." ВВП «Мрія», 2015. http://repository.sspu.sumy.ua/handle/123456789/980.

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Обґрунтовано необхідність представлення результатів сучасних науковців у віртуальному науковому середовищі, що характеризує у тому числі їх ІКТ-компетентність. Зазначено про важливість кількісних наукових показників для оцінки продуктивності науковців і доцільність реєстрації їх у світових наукометричних базах. Описано процес створення профілю у науковій пошуковій системі Google Академія.
It is substantiated the necessity of presenting the results of work of modern scientific researchers as also a feature of their ICT competence. It is indicated the importance of using quantitative indicators to evaluate the scientific performance of researchers, and the expedience of registration in scientometric databases around the world. It is showed the process of the creating a profile in the scientific search system Google Scholar.
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Olensky, Marlies. "Data accuracy in bibliometric data sources and its impact on citation matching." Doctoral thesis, Humboldt-Universität zu Berlin, Philosophische Fakultät I, 2015. http://dx.doi.org/10.18452/17122.

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Ist die Zitationsanalyse ein geeignetes Instrument zur Forschungsevaluation? Diese Dissertation untersucht, ob die zugrunde liegenden Zitationsdaten ausreichend fehlerfrei sind, um aussagekräftige Ergebnisse der Analysen zu erzielen, beziehungsweise sollte dies nicht der Fall sein, ob der Prozess, der die zitierenden und zitierten Artikel einander zurordnet, ausreichend robust gegenüber Ungenauigkeiten in den Daten ist. Ungenauigkeiten wurden als Unterschiede in den Datenwerten der bibliographischen Angaben definiert. Die untersuchten Daten setzen sich aus gezielt ausgewählten Publikationen des Web of Science (WoS) zusammen, welche eine geschichtete Stichprobe ergeben. Die bibliographischen Daten von 3.929 Referenzen wurden in einer qualitativen Inhaltsanalyse bewertet und die bibliographischen Ungenauigkeiten in einer Taxonomie zusammengefasst. Um genau festzulegen, welche von diesen tatsächlich den Zuordnungsprozess von Zitationen beeinflussen, wurde eine spezifische Untergruppe von Zitationen, d.h. Zitationen die von WoS nicht erfolgreich dem jeweilig zitierten Artikel zugeordnet wurden, untersucht. Die Ergebnisse wurden mit den Daten zweier weiterer bibliographischen Datenbanken, Scopus und Google Scholar, sowie den Daten dreier angewandter bibliometrischer Forschungsgruppen, CWTS, iFQ und Science-Metrix, trianguliert. Die Zuordnungsalgorithmen von CWTS und iFQ konnten rund zwei Drittel dieser Zitierungen erfolgreich zuordnen. Scopus und Google Scholar konnten ebenso über 60% der fehlenden Zitierungen erfolgreich mit dem entsprechenden zitierten Artikel verbinden, während Science-Metrix nur eine geringe Anzahl an Referenzen (5%) schaffte. Vollkommen falsche erste Seitenzahlen sowie Zahlendreher in Publikationsjahren können in allen Datenquellen nicht richtig zugeordnete Zitierungen verursachen. Basierend auf den Ergebnissen wurden Lösungsvorschläge formuliert, die im Stande sind den Zuordnungsprozess von Zitationen in bibliometrischen Datenquellen zu verbessern.
Is citation analysis an adequate tool for research evaluation? This doctoral research investigates whether the underlying citation data is sufficiently accurate to provide meaningful results of the analyses and if not, whether the citation matching process can rectify inaccurate citation data. Inaccuracies are defined as discrepancies in the data values of bibliographic references, since they are the essential part in the citation matching process. A stratified, purposeful data sample was selected to examine typical cases of publications in Web of Science (WoS). The bibliographic data of 3,929 references was assessed in a qualitative content analysis to identify prevailing inaccuracies in bibliographic references that can interfere with the citation matching process. The inaccuracies were categorized into a taxonomy. Their frequency was studied to determine any strata-specific patterns. To pinpoint the types of inaccuracies that influence the citation matching process, a specific subset of citations, i.e. citations not successfully matched by WoS, was investigated. The results were triangulated with five other data sources: with data from two bibliographic databases in their role as citation indexes (Scopus and Google Scholar) and with data from three applied bibliometric research groups (CWTS, iFQ and Science-Metrix). The matching algorithms of CWTS and iFQ were able to match around two thirds of these citations correctly. Scopus and Google Scholar also handled more than 60% successfully in their matching. Science-Metrix only matched a small number of references (5%). Completely incorrect starting page numbers and transposed publication years can cause a citation to be missed in all data sources. However, more often it is a combination of more than one kind of inaccuracy in more than one field that leads to a non-match. Based on these results, proposals are formulated that could improve the citation matching processes of the different data sources.
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Nivens, Ryan Andrew, and Samuel Otten. "Assessing Journal Quality in Mathematics Education." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/246.

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Adriaanse, Leslie Sharon. "A comparison of the fee-based citation resources Web of science and Scopus with the free citation resource Google scholar." Thesis, 2012. http://hdl.handle.net/10210/4938.

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M.Phil
Citing is the process by which scholars give recognition to research used by another academic researcher. Citation resources are tools used by academic scholars for keeping track of who did what research and the impact of the research within the discipline. Citation analysis is therefore an attempt to measure the impact and contribution of a study to the body of knowledge and research. Citation tracking and citation analysis is facilitated by making use of information resources which specialize in citations and tools for conducting citation analysis. The citation resource by The Institute for Scientific Information (ISI), Web of Science (WOS), was traditionally the citation tool of choice of academics for more than 40 years. The arrival in 2004 of Scopus, a fee-based citation resource, and Google Scholar (GS), a citation resource available for free and accessible via the Web, presented WOS with competition. The prolific growth of the citation resources created new opportunities for academics in citation tracking and citation analysis. The question of which citation resource to use in the process of tracking citations and conducting citation analysis posed a challenge to librarians and information professionals at academic institutions. It became essential to establish which citation resource was not only most relevant to use for which subject discipline, but which was the most cost-effective with the advent of shrinking library budgets. Therefore the need arose for citation resources to be compared with the aim of establishing whether the newcomers Scopus and GS are substitutes for or complementary to the traditional WOS. The objectives of this study included comparing WOS, Scopus and GS in order to determine whether evaluation criteria existed for citation resources, to define scholarly environmental sciences journals within a South African context, to determine which citation resource presented the most comprehensive citation coverage of the South African scholarly environmental sciences journals, to determine whether GS could be considered a substitute for the fee-based citation resources WOS and Scopus, and to determine how the content of the exported data for the journal sample population compared in terms of content completeness and quality. The research study consisted of a detailed literature review, followed by an empirical component using a comparative research design and the technique of purposive non-probability sampling in order to define the sample population for the study. The South African scholarly environmental sciences journals internationally accredited during the period 2004-2008 were chosen as the sample target population. The study consisted of a pilot study and three measuring instruments that were compiled based on the literature review. The results of the macro-level evaluation established that Scopus surpasses both WOS and GS. On the other hand, the micro-level evaluation concluded that WOS surpasses Scopus and GS. The content verification process conducted determined that Scopus and WOS both surpass GS. These findings were presented at the 12th Annual World Wide Web Applications conference in September 2010. The study was able to establish that GS is not a substitute for WOS and/or Scopus for the South African scholarly environmental sciences journals. In addition, it was concluded that GS can be used as a supplementary citation resource to the fee-based citation resources WOS and Scopus. It was further determined that the citation resource Scopus can be considered a substitute for WOS, which was traditionally the citation resource of choice of academic researchers.
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Bakkalbasi, Nisa, Kathleen Bauer, Lei Wang, and Janis Glover. "Options for Citation Tracking: Google Scholar, Scopus, and Web of Science." 2006. http://hdl.handle.net/10150/105999.

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This is a presentation (22 slides) at the XXVI Annual Charleston Conference November 4-11, 2006 Charleston, South Carolina, of a study which examined how well three citation tracking tools (Google Scholar, Scopus, and Web of Science) cover two subject areas (physics and oncology) in two years (1993 and 2003). In a previous study (data collected in November 2005), Web of Science returned the highest average number of citations for 1993 articles in both subjects. Scopus returned the highest number for 2003 articles in oncology and Web of Science in physics. Furthermore, the study examined the overlap as well as unique citations returned by the three tools. (See http://www.bio-diglib.com/content/3/1/7). Data were updated in September 2006, and these new results are reported.
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Bornmann, Lutz, Werner Marx, Hermann Schier, Erhard Rahm, Andreas Thor, and Hans-Dieter Daniel. "Convergent validity of bibliometric Google Scholar data in the field of chemistry: Citation counts for papers that were accepted by Angewandte Chemie International Edition or rejected but published elsewhere, using Google Scholar, Science Citation Index, Scopus, and Chemical Abstracts." 2009. https://ul.qucosa.de/id/qucosa%3A32360.

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Examining a comprehensive set of papers (n = 1837) that were accepted for publication by the journal Angewandte Chemie International Edition (one of the prime chemistry journals in the world) or rejected by the journal but then published elsewhere, this study tested the extent to which the use of the freely available database Google Scholar (GS) can be expected to yield valid citation counts in the field of chemistry. Analyses of citations for the set of papers returned by three fee-based databases – Science Citation Index, Scopus, and Chemical Abstracts – were compared to the analysis of citations found using GS data. Whereas the analyses using citations returned by the three fee-based databases show very similar results, the results of the analysis using GS citation data differed greatly from the findings using citations from the fee-based databases. Our study therefore supports, on the one hand, the convergent validity of citation analyses based on data from the fee-based databases and, on the other hand, the lack of convergent validity of the citation analysis based on the GS data.
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Meho, Lokman I., and Kiduk Yang. "Impact of Data Sources on Citation Counts and Rankings of LIS Faculty: Web of Science vs. Scopus and Google Scholar." 2007. http://hdl.handle.net/10150/105208.

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The Institute for Scientific Information's (ISI) citation databases have been used for decades as a starting point and often as the only tools for locating citations and/or conducting citation analyses. ISI databases (or Web of Science [WoS]), however, may no longer be sufficient because new databases and tools that allow citation searching are now available. Using citations to the work of 25 library and information science faculty members as a case study, this paper examines the effects of using Scopus and Google Scholar (GS) on the citation counts and rankings of scholars as measured by WoS. Overall, more than 10,000 citing and purportedly citing documents were examined. Results show that Scopus significantly alters the relative ranking of those scholars that appear in the middle of the rankings and that GS stands out in its coverage of conference proceedings as well as international, non-English language journals. The use of Scopus and GS, in addition to WoS, helps reveal a more accurate and comprehensive picture of the scholarly impact of authors. WoS data took about 100 hours of collecting and processing time, Scopus consumed 200 hours, and GS a grueling 3,000 hours.
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Books on the topic "Google Scholar Citations"

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Balla, Steven J., Martin Lodge, and Edward C. Page. What Makes a Classic? Edited by Martin Lodge, Edward C. Page, and Steven J. Balla. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199646135.013.5.

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This chapter examines classic works that have fundamentally shaped subsequent research in public policy and administration. It first explains the approach used to identify classic academic research as a general matter, recognizing that there are many different ways of doing it, as well as the standards that such classics should meet. Three of these standards are external recognition at the highest level, the quality of the publication outlet, and the number of citations as measured via online resources such as Scopus, Web of Science, and Google Scholar. It then describes a variant of the reputational method that was adopted as the approach in assembling a list of classics in public policy and administration, resulting in a final list that includes 46 classics,. This collection displays the shared research concerns of political science and public policy and administration.
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Ray, Amit Shovon, M. Parameswaran, Manmohan Agarwal, Sunandan Ghosh, Udaya S. Mishra, Upasak Das, and Vinoj Abraham. Quality of Social Science Research in India. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199474417.003.0007.

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The chapter analyses the quality of research in terms of quality of articles and of journals by using a quality index. It uses two-dimension indicators to judge the quality of articles, that is, citations (scholarly) and readership, which is the number of hits an article receives in a simple Google keyword search. The quality of a journal is measured in terms of three dimensions: its presence over time, its presence across space, and its depth. The study took 21351 journal articles from 1006 journals (902 journals from Scopus and 104 journals from ISID for five-year period, 2010–14. It emerged that India’s social science research (SSR) contributes more to public debates and policy formulations and relatively less in pushing the frontiers of knowledge for further research.
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Book chapters on the topic "Google Scholar Citations"

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Huang, Ze, and Bo Yuan. "Mining Google Scholar Citations: An Exploratory Study." In Lecture Notes in Computer Science, 182–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31588-6_24.

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Moed, Henk F. "From Eugene Garfield’s Citation Index to Scopus and Google Scholar." In Qualitative and Quantitative Analysis of Scientific and Scholarly Communication, 193–208. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60522-7_14.

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Matveeva, Nataliya, and Oleg Poldin. "Analysis of Co-authorship Networks and Scientific Citation Based on Google Scholar." In Computational Aspects and Applications in Large-Scale Networks, 329–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96247-4_25.

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Ferrara, Alfio, Stefano Montanelli, and Stefano Verzillo. "Google Scholar as a Citation Database for Non-bibliometric Areas: The EVA Project Results." In The Evaluation of Research in Social Sciences and Humanities, 271–93. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68554-0_12.

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Ahamer, Gilbert, and Karl A. Kumpfmüller. "Education and Literature for Development in Responsibility." In Handbook of Research on Transnational Higher Education, 526–84. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4458-8.ch027.

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In order to propose quality assurance for cutting-edge transnational higher education management, this chapter first analyzes data on academic developmental journals while making use of the three widely known literature databases ISI Thomson, Scopus, and Google Scholar; the latter analyzed by the software Publish or Perish (PoP). Time series of data for documents and their citations provide indices; this chapter provides as most helpful indices the ISI impact factor, Scopus SNIP, and PoP AW index. A dozen of the most influential developmental journals are heuristically ranked by taking into account all available indices from all three literature databases. The series of historic bibliometric data since the 1950s shows the dynamics of the global emergence of developmental journals and developmental thought. Secondly, and as a possible template for similar initiatives in global higher education management, this chapter presents the recently established “Global Studies” (GS) Master’s curriculum at Graz University, Austria. Details on this novel curriculum’s targets, modules, courses, and practicals are given. GS embraces six modules and courses from different schools at university. Emphasis is placed on dialogic interdisciplinary understanding and interparadigmatic integration of multiple disciplines and perspectives, when managing education for the purpose of responsibly hedging and managing globalization and socio-economic global change in responsible partnership.
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Jeyasekar, J. John, and P. Saravanan. "Mapping Forensic Odontology Literature Using Open Source Bibliographies and Software." In Advances in Library and Information Science, 170–89. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8178-1.ch011.

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Domain visualization, an emerging field of study is used to map the growing domain structure of scientific disciplines. Scientometrics is a distinct discipline that has emerged from citation based domain visualization. Visualization with the aid of science maps enables visual comprehension. Science maps can be effectively created with the help of computer algorithms. Bibliographic databases are also available freely over the internet. The various computer algorithms and bibliographic databases are discussed. Some of the different bibliometric indicators are also briefly explained. A mapping study of forensic odontology literature for a five year period of 2009 to 2013 is done using two bibliometric databases, viz., PubMed and Google Scholar, which are freely available. MS-Excel spreadsheets and Publish or Perish (PoP) software are used for data analysis. Co-word maps are also created using VOSviewer to visualize the sub-fields of forensic odontology.
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Iyengar, Venkatesh, and S. Vijayakumar Bharathi. "Bibliometric Analysis of Lean, Agile, and Leagile Supply Chains in Automobile Industry (1990 - 2017)." In Sustainable Business, 1746–70. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9615-8.ch079.

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This article describes how organizations embrace various supply chain strategies aiming at effective and efficient performance outcomes for gaining competitive advantage. The authors conducted an extensive search for academic publications on lean, agile, and leagile (hybrid) supply chains in context with automobile industries, published since year 1990 in reliable repositories such as Google Scholar, Scopus and ResearchGate. None of these papers used bibliometric analysis on the topic. This paper systematically maps, publications on lean, agile, and legal strategies in automobile industry published during 1990–2017. A five-step process is followed, namely (i) defining appropriate search terms, (ii) initial search results, (iii) refinement of search results, (iv) initial data, statistics, and (v) data analysis; adopted for inclusion of relevant documents for publication and citation analysis. Selected documents include primary search term ‘automobile' along with associated secondary terms such as ‘lean', ‘agile', ‘lean and agile', and ‘leagile' as part of the title, abstract, or keywords. The analysis finds several documents on lean or agile strategies, but only one document exists on ‘leagile' paradigm. Maximum articles are contributed on engineering subjects followed by business, management and accounting and computer sciences. Large publication and high citation counts were observed for lean from United States and Chinese authors, whereas Indian authors contributed in agile studies. This article identifies areas of current research interests discussing crucial contributions by several authors' and provides potential directions for further research investigations in the field.
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Masiran, Ruziana. "A Review of Parenting in A Multicultural Country: The Malaysian Experience." In Parenting - Challenges of Child Rearing in a Changing Society [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.101173.

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The multicultural nature of Malaysian parents expectedly gives rise to heterogenous parenting practices. Despite this heterogeneity, the country’s common collectivistic background that values familism may have shaped parenting behaviours. Since there is a great influence of culture on parenting, there appears to be a need to explore the Malaysian way of parenting. This review aimed to assess, synthesise, and organise the available research evidence on parenting behaviours and parent-child interactions in Malaysia. Recent publications from 2002 to 2021 were examined using a narrative approach. A literature search was conducted using the Scopus, Dimensions.ai, Google Scholar databases, and citation tracking using keywords such as parenting style, parenting, parent-child interaction, parent-child relation, and childrearing. Twenty-four papers on parenting styles, 13 on parenting practices, and 19 on parent-child interactions were included for review. The majority of the studies were quantitative and published in the last couple of years. While findings revealed diverse parenting styles in the country, culturally-conformed parenting behaviours are thought to be more effective than the standard authoritative parenting. Recommendations are made for future research.
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Conference papers on the topic "Google Scholar Citations"

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ERTHAL, Luísa Canto, Guilherme Felipe Dutra SILVA, and Aline Trovão QUEIROZ. "CHILD DEPRESSION IN BRAZIL - A LITERATURE REVIEW." In SOUTHERN BRAZILIAN JOURNAL OF CHEMISTRY 2021 INTERNATIONAL VIRTUAL CONFERENCE. DR. D. SCIENTIFIC CONSULTING, 2022. http://dx.doi.org/10.48141/sbjchem.21scon.44_abstract_erthal.pdf.

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Childhood depression is a very prevalent mental health condition in today's society. Its debate began to become relevant in the 1960s and, although there is no doubt about its existence, the subject is still little discussed. This paper aims to demonstrate the relevance of the subject due to its high prevalence and underdiagnosis. A literature review on Childhood Depression in Brazil was carried out based on research in Pubmed, Scielo, and Google Scholar databases, between 1989 and 2020, in Portuguese and English, using the descriptors: “child depression”, “symptoms of depression” and “treatment of childhood depression” combined. Textbooks, data from Ministério da saúde, the World Health Organization (WHO), and key articles selected from citations in other articles were used to compose the paper. From the data analysis, twenty-two titles that are directly related to the current work were selected. In Brazil, girls and children between thirteen and fourteen years old are the most affected by the disease. The DSM does not differentiate it from adult depression, despite the atypical manifestations of its symptoms in children. Families still have great difficulty on identifying this disorder the biggest obstacle is understanding and accepting that behavioral changes can be part of a depressive condition. Normalizing the discussion of the topic is important so that there is more information about the disease and, consequently, more knowledge is disseminated both to the medical community and the families of affected children. This way, it will be possible to prevent its appearance and, when present, facilitate its detection, improving life quality of those involved and avoiding negative outcomes such as child suicide.
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Breuer, Peter T., and Jonathan P. Bowen. "Empirical Patterns in Google Scholar Citation Counts." In 2014 IEEE 8th International Symposium on Service Oriented System Engineering (SOSE). IEEE, 2014. http://dx.doi.org/10.1109/sose.2014.55.

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Duc Tran, Chung, Long Duc Nguyen, and Trung Duc Bui. "An Author-based Citation Summary Toolbox for Google Scholar." In ICIIT '21: 2021 6th International Conference on Intelligent Information Technology. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460179.3460191.

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Klimova, Maria, Elena Bychkova, and Kristina Borgoyakova. "Chernobyl as reflected in library information space: 35 years after Cherhnobyl Nuclear Power Plant disaster." In Sixth World Professional Forum "The Book. Culture. Education. Innovations". Russian National Public Library for Science and Technology, 2021. http://dx.doi.org/10.33186/978-5-85638-236-4-2021-138-144.

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Thirty five years passed since Chernobyl disaster, however the risks in nuclear power industry are still the issue. Representation of Chernobyl disaster in library-generated resources and resources available for the libraries is characterized. Information on materials and events dedicated to Chernobyl disaster were retrieved from library websites. Publication activity on the subject by Russian authors was analyzed based on RNPLS&T’s database «Ecology: Science and technologies» and science citation databases, i. e. Web of Science, Scopus, Google Scholar, and Russian Science Citation Index.
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Yang, Yang, and Zheng Yanning. "The Effect of Open Access Journals on Citation Impact: A Citation Analysis of Open Access Journals Using Google Scholar." In 2009 Fourth International Conference on Cooperation and Promotion of Information Resources in Science and Technology (COINFO). IEEE, 2009. http://dx.doi.org/10.1109/coinfo.2009.37.

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Beel, Joran, and Bela Gipp. "Google Scholar's ranking algorithm: The impact of citation counts (An empirical study)." In 2009 Third International Conference on Research Challenges in Information Science (RCIS). IEEE, 2009. http://dx.doi.org/10.1109/rcis.2009.5089308.

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Reports on the topic "Google Scholar Citations"

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Cruz, Cesi, Philip Keefer, and Carlos Scartascini. The Database of Political Institutions 2020 (DPI2020). Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003049.

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The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature. The current version of the database expands its coverage to about 180 countries for 45 years, 1975-2020. It has become one of the most cited databases in comparative political economy and comparative political institutions, with more than 4,500 article citations on Google Scholar as of December 2020.
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Semerikov, Serhiy O., Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko, and Arnold E. Kiv. Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2651.

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It is shown that the calculation of scientometric indicators of the scientist and also the scientific journal continues to be an actual problem nowadays. It is revealed that the leading scientometric databases have the capabilities of automated metadata collection from the scientific journal website by the use of specialized electronic document management systems, in particular Open Journal Systems. It is established that Open Journal Systems successfully exports metadata about an article from scientific journals to scientometric databases Scopus, Web of Science and Google Scholar. However, there is no standard method of export from Open Journal Systems to such scientometric databases as the Russian Science Citation Index and Index Copernicus, which determined the need for research. The aim of the study is to develop the plug-in to the Open Journal Systems for the export of data from this system to scientometric database Russian Science Citation Index. As a result of the study, an infological model for exporting metadata from Open Journal Systems to the Russian Science Citation Index was proposed. The SirenExpo plug-in was developed to export data from Open Journal Systems to the Russian Science Citation Index by the use of the Articulus release preparation system.
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Yang, Yanhui, Yun Luo, Jingwen Kang, Zhanbo Zhao, Changshui Weng, and Li Zhang. Efficacy and Safety of Extracorporeal shock wave therapy in Treatment of Hypertrophic Scars and Keloids: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2021. http://dx.doi.org/10.37766/inplasy2021.11.0023.

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Review question / Objective: The objective of this systematic review and meta-analysis of randomized controlled trials is to evaluate quantitatively the efficacy and safety of extracorporeal shockwave therapies (ESWT) combined comprehensive treatments on hypertrophic scars and keloids compared with comprehensive treatments alone and provide clinicians with an evidence base for their clinical decision making. Information sources: We will search all English and Chinese language articles indexed in PubMed, Medline, the Excerpta Medica database (Embase), Cochrane Central Register of Controlled Trials, the Cochrane Library, Physiotherapy Evidence Database(PEDro), Chinese biomedical literature service system(sinomed) before October 2021. In addition to these databases, Google Scholar and the lists of references will be used to carry out citation tracking of the selected studies for identifying any other eligible studies that could have been missed.
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