Relevant bibliographies by topics / Bibliometric applications

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Academic literature on the topic 'Bibliometric applications'

Author: Grafiati
Published: 3 June 2025
Last updated: 19 July 2025

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Journal articles on the topic "Bibliometric applications"

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Kumar, Rahul. "Bibliometric Analysis: Comprehensive Insights into Tools, Techniques, Applications, and Solutions for Research Excellence." Spectrum of Engineering and Management Sciences 3, no. 1 (2025): 45–62. https://doi.org/10.31181/sems31202535k.

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Bibliometric analysis has emerged as a vital methodology in understanding research landscapes through the application of statistical and quantitative techniques to academic literature. This study examines the evolution, significance, and application of bibliometric methods, highlighting their role in identifying influential authors, mapping collaboration networks, and uncovering emerging research trends. The analysis underscores the development of bibliometric tools, such as VOSviewer, CiteSpace, and Bibliometrix, and their diverse capabilities in visualizing and analyzing large datasets. By comparing bibliometric analysis with traditional review methodologies like systematic literature reviews and meta-analyses, this work illustrates its efficiency in providing comprehensive insights into research domains while emphasizing its complementary role in a holistic research approach. Through the lens of key challenges and advancements in bibliometric tools and methodologies, this research highlights its indispensable role in shaping academic, policy, and institutional strategies in a data-driven era.
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Ekasara, Adam Raka, Nuha Amiratul Afifah, Riska Aprilia Triyadi, Thema Arrisaldi, Daniel Radityo, and Hasan Tri Atmojo. "Tinjauan Literatur Sistematis dan Analisis Bibliometrik Penelitian Kerentanan Airtanah di Indonesia (2013-2021)." Jurnal Ilmiah Geologi PANGEA 9, no. 1sp (2022): 8. http://dx.doi.org/10.31315/jigp.v9i1sp.9404.

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Abstrak - Kebutuhan masyarakat terkait dengan airtanah semakin meningkat. Penilaian kerentanan airtanah menjadi salah satu cara untuk melindungi sumber daya airtanah agar tidak tercemar. Penelitian ini bertujuan untuk melakukan tinjauan literatur sistematis dan analisis bibliometrik untuk penelitian kerentanan airtanah di Indonesia menggunakan basis data Scopus. Parameter yang dianalisis berupa jumlah terbitan, sumber jurnal/prosiding, kata kunci dan jumlah kutipan. Dari hasil pencarian didapatkan 26 artikel dari 74 penulis pada rentang 2013-2021. Kata kunci populer yang muncul pada penelitian diantaranya groundwater pollution, groundwater vulnerability, groundwater resources, aquifers, dan groundwater. Pengolahan data dan visualisasi menggunakan aplikasi Bibliometrix dan VOSviewer. Dari hasil analisis disusun peta tematik yang menggambarkan 4 kuadran berdasarkan tingkat kepadatan dan tingkat sentralitas. Peta tematik ini diharapkan bisa menjadi acuan untuk penelitian kerentanan airtanah di Indonesia. Kata kunci: airtanah, analisis bibliometrik, Bibliometrix VOSviewerAbstract - The needs of the community related to groundwater are increasing. Assessing groundwater vulnerability is one way to protect groundwater resources from being polluted. This study aims to review systematic literature and bibliometric analysis for groundwater vulnerability research in Indonesia using the Scopus database. The parameters were analyzed through several publications, journals/proceedings, keywords and total citations. The search results found 26 articles from 74 authors in the range 2013-2021. Popular keywords that emerged in research include groundwater pollution, groundwater vulnerability, groundwater resources, aquifers, and groundwater. Data processing and visualization using the bibliometric and VOSviewer applications. The results of the analysis compiled a thematic map that describes 4 quadrants based on density and centrality levels. This thematic map is expected to be a reference for groundwater vulnerability research in Indonesia.Keywords: groundwater, bibliometric analysis, Bibliometrix VOSviewer
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Stuart, David. "Open bibliometrics and undiscovered public knowledge." Online Information Review 42, no. 3 (2018): 412–18. http://dx.doi.org/10.1108/oir-07-2017-0209.

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Purpose The purpose of this paper is to raise awareness of the potential of open bibliometrics, especially for the discovery of previously undiscovered public knowledge. Design/methodology/approach The viewpoint considers the limitations of the most popular current bibliometric tools and the possibilities offered from more open tools. It is supported by analysis of the openness of keywords associated with bibliometric studies in 2016. Findings The paper finds that although tools are emerging that offer more open bibliometrics, bibliometric research nonetheless continues to make use of restricted services. Originality/value This viewpoint on the potential of open bibliometrics is supported by an analysis of the current openness of bibliometric keywords.
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Ullah, Rahmat, Ikram Asghar, and Mark G. Griffiths. "An Integrated Methodology for Bibliometric Analysis: A Case Study of Internet of Things in Healthcare Applications." Sensors 23, no. 1 (2022): 67. http://dx.doi.org/10.3390/s23010067.

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This paper presents an integrated and easy methodology for bibliometric analysis. The proposed methodology is evaluated on recent research activities to highlight the role of the Internet of Things in healthcare applications. Different tools are used for bibliometric studies to explore the breadth and depth of different research areas. However, these Methods consider only the Web of Science or Scopus data for bibliometric analysis. Furthermore, bibliometric analysis has not been fully utilised to examine the capabilities of the Internet of Things for medical devices and their applications. There is a need for an easy methodology to use for a single integrated analysis of data from many sources rather than just the Web of Science or Scopus. A few bibliometric studies merge the Web of Science and Scopus to conduct a single integrated piece of research. This paper presents a methodology that could be used for a single bibliometric analysis across multiple databases. Three freely available tools, Excel, Perish or Publish and the R package Bibliometrix, are used for the purpose. The proposed bibliometric methodology is evaluated for studies related to the Internet of Medical Things (IoMT) and its applications in healthcare settings. An inclusion/exclusion criterion is developed to explore relevant studies from the seven largest databases, including Scopus, Web of Science, IEEE, ACM digital library, PubMed, Science Direct and Google Scholar. The study focuses on factors such as the number of publications, citations per paper, collaborative research output, h-Index, primary research and healthcare application areas. Data for this study are collected from the seven largest academic databases for 2012 to 2022 related to IoMT and their applications in healthcare. The bibliometric data analysis generated different research themes within IoMT technologies and their applications in healthcare research. The study has also identified significant research areas in this field. The leading research countries and their contributions are another output from the data analysis. Finally, future research directions are proposed for researchers to explore this area in further detail.
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Torres-Salinas, Daniel, and Nicolás Robinson-García. "The time for bibliometric applications." Journal of the Association for Information Science and Technology 67, no. 4 (2016): 1014–15. http://dx.doi.org/10.1002/asi.23604.

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Zhang, Jingru, Wan Ahmad Jaafar Wan Yahaya, and Mageswaran Sanmugam. "The Impact of Immersive Technologies on Cultural Heritage: A Bibliometric Study of VR, AR, and MR Applications." Sustainability 16, no. 15 (2024): 6446. http://dx.doi.org/10.3390/su16156446.

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This article aims to assist readers in understanding the current status of studies on the subject by providing a descriptive bibliometric analysis of publications on virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies in cultural heritage. A bibliometric analysis of 1214 publications in this discipline in the Scopus database between 2014 and the beginning of June 2024 was performed. We used VOSviewer and Bibliometrix as the analysis tools in this investigation. The outcome of this study provides a detailed overview of the descriptive bibliometric analysis based on seven categories, including the annual count of articles and citations, the most productive author, the primary affiliation, the publication source, and the subject areas. The contribution of this research lies in offering valuable insights for practitioners and researchers, helping them make informed decisions on the use of immersive technologies, for example, VR, AR, and MR, in the context of cultural heritage.
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Chio, Nayibe, and Eduardo Quiles-Cucarella. "A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics." Sensors 25, no. 1 (2024): 154. https://doi.org/10.3390/s25010154.

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In this paper, a bibliometric review is conducted on brain–computer interfaces (BCI) in non-invasive paradigms like motor imagery (MI) and steady-state visually evoked potentials (SSVEP) for applications in rehabilitation and robotics. An exploratory and descriptive approach is used in the analysis. Computational tools such as the biblioshiny application for R-Bibliometrix and VOSViewer are employed to generate data on years, sources, authors, affiliation, country, documents, co-author, co-citation, and co-occurrence. This article allows for the identification of different bibliometric indicators such as the research process, evolution, visibility, volume, influence, impact, and production in the field of brain–computer interfaces for MI and SSVEP paradigms in rehabilitation and robotics applications from 2000 to August 2024.
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Panglipur, Indah Rahayu. "ANALISIS BIBLIOMETRIK: TREND PENELITIAN ETNOMATEMATIKA DI JEMBER PADA MATERI GEOMETRI." Prismatika: Jurnal Pendidikan dan Riset Matematika 7, no. 1 (2024): 29–37. https://doi.org/10.33503/prismatika.v7i1.171.

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This research aims at bibliometric analysis so that data can be obtained that can be used as a reference regarding the diversity of ethnomathematics in geometric concepts that have been explored through research to be developed in mathematics learning. The novelty obtained from this research is that it is able to provide an overview and reveal the trend position of ethnomathematics research on geometry material in Jember. The benefit obtained can be used as a reference for learning process activities carried out at school. This research uses bibliometric visualization and bibliometric analysis to provide a structural overview of the field of qualitative research. Bibliometrics uses the Publish or Perish (PoP) and VOSviewer applications to obtain a research trend database. The research results show that the concept of geometry is found in several publications related to ethnomathematics in Jember. Applications of concepts related to this research are triangles, symmetry, parallel lines, straight lines, curved lines, and applied to batik motifs.
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Rabbaje, Fatiha, Abdelmajid Ait Taleb, and Larbi Lasri. "Emerging Trends and Future Directions in Fused Deposition Modeling: A Bibliometric Analysis (2013-2023)." E3S Web of Conferences 601 (2025): 00030. https://doi.org/10.1051/e3sconf/202560100030.

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This bibliometric overview provides a detailed and comprehensive analysis of the research conducted on Fused Deposition Modeling (FDM) technology from 2013 to 2023. The analysis includes a thorough examination of publications, conference papers, and patents related to FDM technology. The overview offers valuable insights into the evolution, current state, and prospective trajectories of FDM technology. The analysis covers a wide range of topics related to FDM technology, including its applications, advancements, limitations, and prospects. This bibliometric overview aims to help researchers gain a deeper understanding of the FDM technology and its potential applications. It offers a comprehensive overview of the current state of research in the field and identifies new areas of research that could lead to significant advancements in FDM technology. The study utilized bibliometric indicators and network analysis methodologies, encompassing keyword analysis, citation metrics, journal productivity, associated publications, and author-related metrics. To conduct this analysis, two freely available software tools, VOSviewer and Bibliometrix [1], were employed.
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Du, Kai, Ao Li, Chen-Yu Zhang, Ren Guo, and Shu-Ming Li. "Platelet-rich plasma: A bibliometric and visual analysis from 2000 to 2022." Medicine 103, no. 46 (2024): e40530. http://dx.doi.org/10.1097/md.0000000000040530.

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Background: Platelet-rich plasma (PRP) is an integral biotherapeutic modality with evolving significance in the medical domain. Despite its expanding applications, a comprehensive bibliometric evaluation is essential to understand its development and impact. Methods: The Web of Science core collection subject search identified articles pertinent to PRP applications. Analytical tools, including CiteSpace, VOSviewer, Bibliometrix (R-Tool for R-Studio), TBtools, SCImago Graphica, Origin, and Excel, facilitated the bibliometric scrutiny. This examination spanned dimensions ranging from geographical and institutional contributions to thematic shifts and keyword prevalence. Results: A corpus of 5167 publications was analyzed, with the United States, particularly the Hospital for Special Surgery, emerging as major contributors. The American Journal of Sports Medicine was identified as the primary journal, and Anitua Eduardo as the leading author in the domain. Keyword analysis highlighted evolving research themes, with a shift from traditional applications in orthopedics and dentistry to emerging areas such as dermatology, aesthetics, and chronic pain management. Conclusion: The bibliometric analysis of PRP research reveals a multifaceted array of applications across various medical disciplines and highlights areas requiring further exploration, particularly in standardization, personalization, and safety. Future advancements in PRP research will necessitate innovative exploration, ethical considerations, and rigorous scientific validation to fully harness the therapeutic potential of PRP and related therapies.
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Dissertations / Theses on the topic "Bibliometric applications"

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PERI, ILARIA. "Quasi-convex risk measures and acceptability indices. Theory and applications." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2012. http://hdl.handle.net/10281/29745.

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This thesis is organized in two parts: in the first one, we treat risk measures and acceptability indices from a theoretical point of view, while in the second part, we propose two applications of the quasi-convex results. The first contribute of the thesis regards the dual representation of quasi-convex and monotone maps. In particular, we compare the dual representation proposed by Cerreia-Vioglio et al (2011) and Drapeau and Kupper (2010) and we prove that they coincide. On the light of this comparison, we also propose a new representation for the quasi-concave and monotone acceptability indices. In the second part of the thesis we propose two different applications of the quasi- convex analysis to different sectors. The common idea has been to build a quasi-convex risk measure defining a particular family of acceptability sets, taking inspiration from the papers of Cherny and Madan (2009) and Drapeau and Kupper (2010). The first application is to the financial sector. We introduce a new class of law invariant risk measures, directly defined on the set P(R) of probability measures on R, that are monotone and quasi-convex on P(R). We build these maps by an appropriate family of acceptance sets of distribution functions. We study the properties of such maps and we provide some example. In particular, we propose a generalization of the classical notion of the V@R_λ, called ΛV@R, that takes into account not only the probability λ of the losses, but the balance between such probability and the amount of the loss. The V@R_λ and other known law invariant risk measures turn out to be special cases of our proposal. We further prove the dual representation of Risk Measures on P(R). The second application is to the evaluation of the scientific research. We introduce a new family of scientific performance measures, called Scientific Research Measures (SRM). This proposal originates from the recent developments in the theory of quasi-convex risk measures and is an attempt to resolve the many problems of the existing bibliometric indices. The key idea underlying the definition of SRM is the representation of quasi-concave monotone maps in terms of a family of acceptance sets. Through this approach, the SRMs are: flexible to fit peculiarities of different areas and seniorities; inclusive, as they comprehend several popular indices; coherent, as they share the same structural properties; calibrated to the particular scientific community; granular, as they allow a more precise comparison between scientists and are based on the whole scientist’s citation curve. We also provide a dual representation of a SRM, that suggests a new interesting approach to the whole area of bibliometric indices. Finally, we present a method to compute a particular SRM, called φ-index, and some result obtained by the calibration to a specific scientific sector.
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MIGLIORATI, Manlio. "Statistical models and algorithms for data mining and machine learning - Applications to sports analytics and bibliometrics." Doctoral thesis, Università degli studi di Brescia, 2022. http://hdl.handle.net/11379/551996.

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Questa tesi di dottorato riassume gli obiettivi di ricerca e le relative risposte ottenute nell’ambito del programma di dottorato “Modelli e Metodi per l’Economia e il Management” dell’Università di Brescia, Dipartimento di Economia e Management, cui l’autore ha partecipato negli anni 2018-2021. La principale attività di ricerca è relativa all’applicazione delle metodologie di data science, e in particolare il machine learning, allo sport, focalizzandosi sul basket, col duplice scopo di fornire allo staff tecnico strumenti per preparare e analizzare un match, e di affrontare il problema di classificazione della previsione del risultato di una partita. La seconda attività di ricerca affrontata è focalizzata sull’utilizzo del linguaggio naturale nel settore bibliometrico, al fine di offrire strumenti utili alla individuazione e valutazione di articoli rilevanti per uno specifico contesto scientifico (ad esempio data science e sport, oppure COVID-19). L’insieme di tecniche utilizzate include, tra le altre, gli Alberi di Decisione, le Random Forests, il Recursive Partitioning, il Deep Learning, i Topic Models. Tutte le implementazioni sono scritte nel linguaggio R, e il codice sorgente è disponibile su richiesta.<br>This PhD dissertation summarizes research questions and related answers achieved in the context of the PhD program of “Analytics for Economics and Management” of University of Brescia, Department of Economics and Management, attended by the author in the years 2018-2021. Main research activity is related to applying data science methodologies, and machine learning in particular, to sport, focusing on basketball. Intended goals are both proposing tools to help coaching staff in matches’ preparation, and facing the classification problem of outcome prediction of a match. The second research activity is focused on natural language processing applied to the bibliometric field, to offer valuable tools in finding and evaluating papers in a specific research domain (e.g. data science and sport, or COVID-19). The set of techniques includes, among others, Decision Trees, Random Forests, Recursive Partitioning, Deep Learning, Topic Models. All implementations are written in R language, and source code is available on demand.
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Сафін, Іван Рудольфович. "Створення статистичних сторінок моніторингу бібліометричних даних". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/44152.

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Мета роботи – створення застосунку, який являє собою систему моніторингу та пошуку бібліометричних даних. Для реалізації інтерфейсу була використана мова програмування Dart та технологія побудови UI «Flutter». Тестові дані були взяті з бібліометричної бази даних під назвою “Arxiv”. Для отримання даних у форматі метаданих від бази за допомогою REST API використовуються HTTP-запити<br>The purpose of the work is to create an application that is a system for monitoring and retrieving bibliometric data. Dart programming language and UI "Flutter" construction technology were used to implement the interface. The test data were taken from a bibliometric database called "Arxiv". HTTP requests are used to obtain metadata data from the database using the REST API.<br>Цель работы - создать приложение, представляющее собой систему мониторинга и получения библиометрических данных. Для реализации интерфейса использовались язык программирования Dart и технология построения UI "Flutter". Данные теста были взяты из библиометрической базы данных под названием «Arxiv». HTTP-запросы используются для получения данных метаданных из базы данных с помощью REST API.
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Hackney, Candace Dorothy. "Social Emotional Learning as a Charge for School Psychologists." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1566147862091835.

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von, Ungern-Sternberg Sara. "Applications in teaching bibliometrics." 1995. http://hdl.handle.net/10150/106138.

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In recent discussions of library and information science (LIS) educators, reducing heterophily, the lack of similarity between two groups or individuals, among LIS researchers and practitioners has b een emphasized. Two researchers with different backgrounds, one in bibliometrics and the other in case study, have observed and discussed applications of bibliometrics and case study as used in teach ing research methods. The main thrust is in providing tools for teaching these research methods so that the gap between research and practical application could be narrowed. Dr. Leena Siitonen discus ses in her paper applications in teaching case study research methods. Bibliometric methods are seldom used by librarians in practical work. Still these methods grow more important when planning information provision in research libraries. New subject fields develop and the number of interdisciplinary publications have during the last decades grown exponentially. It is, though, difficult to organise information in new fields, when the classification systems, used f or instance by journal services, have a discipline based structure. The need to organize this information and help the user to identify relevant documents grows more important, and at the same time t he huge amount of available documents give great possibilities to apply bibliometrics easily and in the frame of practical work. Bibliometrics provide a tool for getting the core for developing a loc al collection in a new field. Teaching bibliometric methods could be developed by 1. seminars, where the students learn the methods and also learn to interprete their results by comparing with other studies, and 2. by use of online systems which give good bases for different bibliometric methods.
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Pereira, Liliana Catarina Lopes. "Research and market trends in the area of macro- and microalgae: patent analysis and bibliometrics." Master's thesis, 2020. http://hdl.handle.net/10773/30387.

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Algae (macroalgae and microalgae) are aquatic and photosynthetic organisms that contain a huge variety of natural compounds with a high added value for different sectors, with highlight for food applications/human nutrition. In fact, 83 % of the seaweed harvested and cultivated is consumed by humans as direct food source or as food additive (mostly phycocolloids), and microalgae biomass has been mainly practiced in the markets of food health during the last decades. Scientific proves are constantly appearing and supporting the vast potential of algae in human health and nutrition. This work aimed to use Technology Surveillance to detect technology innovation opportunities and new ideas in macro- and microalgae sectors and, consequently, use Technology Forecasting approaches to study the impact of algae technologies at some time in the future (technology trends). Using patent bibliometrics and literature bibliometrics, were studied and analysed, respectively, market and academic research trends. The seaweed patents portfolio is much bigger (49582 patent) than microalgae patents portfolio (12524 patents) which is also observed for the bibliometric analysis, where macroalgae has 731 published documents in the Food area whereas microalgae has 376 documents. Seaweed applications are more related with Food Chemistry and Organic Fine Chemistry (KAO, producer of chemistry & cosmetic products, is the major key player) and microalgae applications are more related with Biotechnology (ENN Science & Technology Development, operates in the energy field, is the major player). Was also observed in the bibliometric study that microalgae have more subject areas, with more published documents, related with Biotechnology, Environmental Sciences and Energy Fuels than related with Food Science, which occurs for macroalgae case. China is the country that detain the major algae patents portfolios, however in relation to the published literature on the subject, Europe is the largest investor in algal studies related with food applications, in particular Spain. The co-authorship analysis between authors show as that Portuguese authors lead in macroalgae research, with most connected items, and Belgian authors lead in microalgae research. In terms of coauthorship between institutions, the lack of cooperation/relationship between various institutions/organizations in the microalgae case study was not observed in the case of macroalgae. Both for macro and microalgae the co-authorship between countries gave us the information of the cooperation between different countries, with highlight for Spain. The keywords “functional food”, “antioxidant activity” and “antioxidant” are important terms for macro and microalgae bibliometric analysis despite the absence of those terms in the patent analysis. Thus, algae are not only a trend for market (with different technology applications) but also in academic literature, related with Food Science and Technology, considering the recommendations of Blue Economy for a more sustainable future.<br>As algas (macroalgas e microalgas) são organismos aquáticos e fotossintéticos que contêm uma enorme variedade de compostos naturais com um elevado valor acrescentado para diferentes setores, com destaque para aplicações alimentares/ nutrição humana. De facto, 83 % das macroalgas colhidas e cultivadas são consumidas pelos seres humanos como fonte direta de alimento ou como aditivo alimentar (principalmente ficocolóides), e a biomassa de microalgas tem sido usada principalmente nos mercados de saúde alimentar nas últimas décadas. As provas científicas estão constantemente a surgir e apoiam o vasto potencial das algas na saúde e nutrição humana. Este trabalho teve como objetivo usar a Vigilância Tecnológica para detetar oportunidades de inovação tecnológica e novas ideias nos setores das macro e microalgas e, consequentemente, usar abordagens de Previsão Tecnológica para estudar o impacto das tecnologias de algas em algum momento no futuro (tendências tecnológicas). Utilizando bibliometria de patentes e bibliometria de literatura, foram estudadas e analisadas, respetivamente, as tendências de mercado e de investigação. O portfólio de patentes das macroalgas é muito maior (49582 patentes) do que o portfólio de patentes das microalgas (12524 patentes), o que também foi observado para a análise bibliométrica, onde as macroalgas possuíam 731 documentos publicados na área alimentar enquanto as microalgas possuíam 376 documentos. As aplicações sobre macroalgas estão mais relacionadas com a Química Alimentar e Química Fina Orgânica (KAO, produtora de produtos químicos & cosméticos, é o principal player), e as aplicações sobre microalgas estão mais relacionadas com a Biotecnologia (ENN Science & Technology Development, atua no campo da energia, é o principal player). Também foi observado que no estudo bibliométrico, as microalgas têm mais áreas temáticas, com mais documentos publicados, relacionadas com Biotecnologia, Ciências Ambientais e Combustíveis & Energia do que relacionados com Ciências Alimentares, como ocorre para o caso das macroalgas. A China é o país que detém o maior portfólio de patentes das algas, porém, relativamente à literatura publicada sobre o tema, a Europa é o maior investidor em estudos de algas relacionados com aplicações alimentares, em particular a Espanha. A análise de coautoria entre os autores mostra que os autores Portugueses lideram a investigação nas macroalgas, com o maior número de itens relacionados, e os autores Belgas lideram nas microalgas. Em termos de coautoria entre instituições, a falta de cooperação/relacionamento entre instituições/organizações no caso de estudo das microalgas não foi observada no caso das macroalgas. Tanto para as macro- como microalgas a coautoria entre países deu-nos a informação da cooperação entre diferentes países, com destaque para a Espanha. As palavras chave “alimentos funcionais”, “atividade antioxidante” e “antioxidante” são termos importantes para a análise bibliométrica de algas, apesar destes termos serem ausentes na análise de patentes. Assim, as algas não são apenas uma tendência de mercado (com diferentes aplicações tecnológicas), mas também o são na literatura académica, relacionada com Ciência e Tecnologia Alimentar, em linha com as recomendações da Economia Azul para um futuro mais sustentável.<br>Mestrado em Biotecnologia
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JIANG, YEFEI, and 姜葉飛. "The Construction of Copula Based Network Model and Its Application in Bibliometrics." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/a4pt23.

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博士<br>輔仁大學<br>商學研究所博士班<br>106<br>The daily broadening large scale data mounts many new challenges to the processing and analysis of various types of data. Management science is subjected to related data and its inferred consequences. However, the effectiveness of some traditional statistical methods are open to doubt, and the outcomes of induction and deduction may be hard to accurately pilot the related management and operations. In practical operation, we usually find the relation between variables is more changeable and unreliable than that is assumed in traditional statistical methods; the analysis depends on individual/local data no longer meet people's demands. Analysis based-on network may offer the possibilities for exploring relations between variables and provide systematic perspectives on problems. As the data volume increases, the problem of sparseness will arise. On the measurement of correlation, the traditional methods do not consider the sparseness of the data adequately; simultaneously, whether the correlation is merely a simple linear relationship is still under discussion. This thesis attempts to improve the problems encountered by the traditional correlation coefficients in the case of non-linear and inflated from the analysis of the correlation between the Copula bases network analysis method. And this method can systematically obtain important factors and categories in the data. The simulation analysis results show that the Copula based correlation measurement can better describe the true relationship between variables with higher robustness and solve the variance and bias under traditional correlation measurement. Empirical study used the publications of NHIRD which were provided publicly by PubMed. We construct the Copula based network model to find the collaborative network between authors and organizations, and discovered the research topic detection and temporal trend based on Medical Subject Headings (MeSH) terms, so as to provide practical value to related administrative department and attempt to bring the theoretical frame of management science to completion.
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Callahan, Alison Victoria. "Contextual cocitation: Augmenting cocitation analysis and its applications." 2009. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=958035&T=F.

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Chang, Jie-Wei, and 章介瑋. "Patterns of China''s S&T Cooperation with Advanced Countries: Application of a Bibliometrics." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/19035597894238650752.

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碩士<br>淡江大學<br>中國大陸研究所碩士班<br>100<br>The previous studies on cross border S&T cooperation mainly focus on the selection of important fields and the patterns of cooperation usually by measuring patents or R&D investments. Different from the previous studies, the thesis intends to explore the patterns and the motivations of China’s cross-border S&T cooperation especially with the advanced countries, by using the approach of bibliometrics instead. In line with the approach of bibliometrics, this study targets the patterns of China’s cross-border S&T cooperation with the U.S., EU, and Japan by measuring their international co-authorship and drawing on the WOS database of 20 fields over the period of 1990-2010. Especially by focusing on the top five important fields, namely physics, clinical medicine, engineering, materials science, and chemistry, the study intends to explore the determinants of China’s S&T cooperation hiring a quantitative model with the revealed comparative advantage index. As implied by the empirical evidence, cross-border learning is the core elements of China’s S&T cooperation.
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Leydesdorff, Loet, and Liwen Vaughan. "Co-occurrence Matrices and their Applications in Information Science: Extending ACA to the Web Environment." 2006. http://hdl.handle.net/10150/106219.

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Journal of the American Society for Information Science and Technology [JASIST] (forthcoming)<br>To be published in Journal of the American Society for Information Science & Technology 57(12) (2006) 1616-1628. Abstract: Co-occurrence matrices, such as co-citation, co-word, and co-link matrices, have been used widely in the information sciences. However, confusion and controversy have hindered the proper statistical analysis of this data. The underlying problem, in our opinion, involved understanding the nature of various types of matrices. This paper discusses the difference between a symmetrical co-citation matrix and an asymmetrical citation matrix as well as the appropriate statistical techniques that can be applied to each of these matrices, respectively. Similarity measures (like the Pearson correlation coefficient or the cosine) should not be applied to the symmetrical co-citation matrix, but can be applied to the asymmetrical citation matrix to derive the proximity matrix. The argument is illustrated with examples. The study then extends the application of co-occurrence matrices to the Web environment where the nature of the available data and thus data collection methods are different from those of traditional databases such as the Science Citation Index. A set of data collected with the Google Scholar search engine is analyzed using both the traditional methods of multivariate analysis and the new visualization software Pajek that is based on social network analysis and graph theory.
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Books on the topic "Bibliometric applications"

1

Jarneving, Bo. The combined application of bibliographic coupling and the complete link cluster method in bibliometric science mapping. Valfrid, 2005.

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Debackere, Koenraad. The application of sociometric and event-history modeling to bibliometric data: The case of transgene plants. Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1994.

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Conference, IASLIC (Association). Bibliometric studies: Application of quantitative method to study the published literature ; Current information : needs and resources : papers presented at the 15th IASLIC Conference held at Bangalore, Dec. 26-29, 1985. Indian Association of Special Libraries & Information Centres, 1985.

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Senthilkumar, K. R., and R. Jagajeevan. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights. IGI Global, 2024.

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Senthilkumar, K. R., and R. Jagajeevan. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights. IGI Global, 2024.

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Senthilkumar, K. R., and R. Jagajeevan. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights. IGI Global, 2024.

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Senthilkumar, K. R., and R. Jagajeevan. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights. IGI Global, 2024.

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Senthilkumar, K. R., and R. Jagajeevan. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights. IGI Global, 2024.

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Application of Sociometric and Event-History Modeling to Bibliometric Data: The Case of Transgene Plants. Creative Media Partners, LLC, 2022.

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A bibliometric analysis of terminological and conceptual change in sociology and economics: With application to the design of dynamic thesaural systems. National Library of Canada, 1988.

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Book chapters on the topic "Bibliometric applications"

1

Fortiș, Teodor-Florin, and Alexandra-Emilia Fortiș. "Cloud Computing Projects: A Bibliometric Overview." In Advanced Information Networking and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75078-7_14.

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Vafashoar, Reza, Hossein Morshedlou, Alireza Rezvanian, and Mohammad Reza Meybodi. "Cellular Learning Automata: A Bibliometric Analysis." In Cellular Learning Automata: Theory and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53141-6_2.

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Mokhtar Brika, Said Khalfa, Abdelmageed Algamdi, Adam Musa, Khalil Chergui, and Fethia Yahiaoui. "Deep Learning in Healthcare: A Bibliometric Analysis." In Deep Learning for Biomedical Applications. CRC Press, 2021. http://dx.doi.org/10.1201/9780367855611-12.

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Agjei, Richard Osei, Frank Adusei-Mensah, Oluwafemi Samson Balogun, and Sunday Adewale Olaleye. "The Bibliometric Global Overview of COVID-19 Vaccination." In Intelligent Systems Design and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35507-3_28.

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Rouzbahani, Hossein Mohammadi, Hadis Karimipour, Ali Dehghantanha, and Reza M. Parizi. "Blockchain Applications in Power Systems: A Bibliometric Analysis." In Advances in Information Security. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38181-3_7.

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Mwema, Fredrick Madaraka, Tien-Chien Jen, and Lin Zhu. "Bibliometric Analysis of Applications of Thin Film Materials." In Thin Film Coatings. CRC Press, 2022. http://dx.doi.org/10.1201/9781003202615-5.

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Valderrama, Pilar, Manuel Escabias, Evaristo Jiménez-Contreras, Mariano J. Valderrama, and Pilar Baca. "Bibliometric Variables Determining the Quality of a Dentistry Journal." In Data Analysis and Applications 2. John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579465.ch3.

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Nwankwo, Nnaemeka, Ezekiel Chinyio, Emmanuel Daniel, and Louis Gyoh. "Application of the Internet of Things (IoT) for Energy Efficiency in Buildings: A Bibliometric Review." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.107.

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Buildings are experiencing tremendous transformation, where Internet of things (IoT) is been used to transform traditional buildings into smart structures. While there are viable IoT techniques, developing IoT applications and operations to fully realise the technology's promise is needed. This may be done successfully by bridging the gaps in the present research to establish a foundation for future investigations. This study analysed extant literature in IoT (between 2008 and 2022) through a bibliometric review to tease out critical measures for their integration and transformation. The study adopted a science mapping quantitative literature review approach and employed bibliometric and visualisation techniques to systematically investigate data. The Scopus database was used to collect data and VOSviewer software to analyse the data collected to determine the strengths, weights, clusters, research trends in IoT. Important findings emerging from the study include recent literature by various researchers on IoT applications in buildings. The shift in recent patterns of research from developed to developing countries. Eighty-nine (89) keywords were analysed and divided into six clusters. Each cluster is discussed to present its research area and associated future studies in relation to Smart buildings. This paper uses bibliometric analysis to unpick recent trends in IoT and its relevant application to buildings. The paper provides a blueprint for future IoT research and practice, needed awareness and future strategy directions for IoT applications in construction. This creates opportunities to transition to more sustainable construction sector
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Nwankwo, Nnaemeka, Ezekiel Chinyio, Emmanuel Daniel, and Louis Gyoh. "Application of the Internet of Things (IoT) for Energy Efficiency in Buildings: A Bibliometric Review." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.107.

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Buildings are experiencing tremendous transformation, where Internet of things (IoT) is been used to transform traditional buildings into smart structures. While there are viable IoT techniques, developing IoT applications and operations to fully realise the technology's promise is needed. This may be done successfully by bridging the gaps in the present research to establish a foundation for future investigations. This study analysed extant literature in IoT (between 2008 and 2022) through a bibliometric review to tease out critical measures for their integration and transformation. The study adopted a science mapping quantitative literature review approach and employed bibliometric and visualisation techniques to systematically investigate data. The Scopus database was used to collect data and VOSviewer software to analyse the data collected to determine the strengths, weights, clusters, research trends in IoT. Important findings emerging from the study include recent literature by various researchers on IoT applications in buildings. The shift in recent patterns of research from developed to developing countries. Eighty-nine (89) keywords were analysed and divided into six clusters. Each cluster is discussed to present its research area and associated future studies in relation to Smart buildings. This paper uses bibliometric analysis to unpick recent trends in IoT and its relevant application to buildings. The paper provides a blueprint for future IoT research and practice, needed awareness and future strategy directions for IoT applications in construction. This creates opportunities to transition to more sustainable construction sector
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Ivanova, Tetiana. "Cognitive Technologies and Competence Development: Bibliometric Analysis." In Information and Communication Technologies in Education, Research, and Industrial Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48325-7_24.

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Conference papers on the topic "Bibliometric applications"

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Peraza Munoz, Ana Karen, Carlos Adolfo Vásquez Rochin, Miguel Enrique Martínez Rosas, and Humberto Cervantes De Ávila. "Bibliometric review: characterizing wine grapes through image processing." In Applications of Digital Image Processing XLVII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2024. http://dx.doi.org/10.1117/12.3020436.

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Kongthon, Alisa, and Pornchai Supnithi. "Artificial Intelligence Applications in Ionospheric Irregularities: A Bibliometric Analysis." In 2024 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2024. http://dx.doi.org/10.23919/picmet64035.2024.10653119.

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Supriyanti, Dedeh, Chandra Lukita, M. Deny Aditya Majid, Adam Faturahman, Ihsan Nuril Hikam, and I. Komang Mertayasa. "Bibliometric Insights into Blockchain Technology Applications in Digital Libraries." In 2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2024. http://dx.doi.org/10.1109/iccit62134.2024.10701109.

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Magdalena, Yulia, Harco Leslie Hendric Spits Warnars, Harjanto Prabowo, and Sfenrianto. "Learning Analytics in Higher Education: A Bibliometric Analysis." In 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2024. https://doi.org/10.1109/icicyta64807.2024.10913008.

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Paje, Paulo Noel G., and Thelma D. Palaoag. "Digital Transformation in Higher Education: A Bibliometric Analysis." In 2024 9th International Conference on Information Technology and Digital Applications (ICITDA). IEEE, 2024. https://doi.org/10.1109/icitda64560.2024.10809939.

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Adediran, Anthonia Oluwatosin, Samuel-Soma M. Ajibade, Muhammed Basheer Jasser, et al. "Artificial Intelligence Adoption in Housing: A Bibliometric Analysis." In 2025 21st IEEE International Colloquium on Signal Processing & Its Applications (CSPA). IEEE, 2025. https://doi.org/10.1109/cspa64953.2025.10933225.

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Ag, Muhammet Sait, Kutan Koruyan, and Cigdem Tarhan. "Websites Quality and Online Success: A Bibliometric Analysis." In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). IEEE, 2025. https://doi.org/10.1109/ichora65333.2025.11017055.

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Al-Shammari, Minwir, and Yahya A. Ghanem. "Machine Learning for Predicting Employee Attrition: A Bibliometric Analysis." In 2024 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2024. https://doi.org/10.1109/dasa63652.2024.10836251.

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Albaz, Maged M., Ahmed Z. Metwaly, and Mahmoud Khalifa. "Financial Performance in Engineering-Industrial Sector: A Bibliometric Review." In 2024 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2024. https://doi.org/10.1109/dasa63652.2024.10836420.

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Ariani, Nita Erika, Nuraini A. Nuraini A, Maya Febrianty Lautania, and Intan Puspita Sari. "Gender in Governance: Essential or Outdated? A Bibliometric Analysis." In 2024 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2024. https://doi.org/10.1109/dasa63652.2024.10836267.

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Reports on the topic "Bibliometric applications"

1

Li, Jian, Peijing Li, and Jingwen Hu. Digital human modeling in automotive engineering applications: a systematic review and bibliometric mapping. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.10.0094.

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Review question / Objective: The aim of this systematic review is to investigate the state of the art of digital human models (DHMs) applied in the field of transportation and automotive engineering, to better inform the development of new models for such use cases. To this end, the proposed systematic review will address the following questions: What is the general trend of research in this field? Which specific use cases, methodologies, and human models are being more widely studied or utilized than others? How can we describe such study characteristics in a structured and quantitative manner? Eligibility criteria: Eligible publications included in the review are screened according to the following criteria: (a) The publication must be a full-text article published in an academic journal or in the proceedings of an academic conference, (b) The publication must be final and the article must be in press, (c) The language of the publication must be English, (d) The publication must apply digital human models in a transportation or automotive engineering context, (e) No particular restrictions are placed on the country and/or region of origin of the publication.
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Leta, Samson, Tesfaye Rufael Chibssa, and Jan Paeshuyse. CRISPR-Cas12/Cas13: bibliometric analysis and systematic review of its application in infectious diseasedetection. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.8.0062.

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Langlais, Pierre-Carl. Uses of Open Science. Comité pour la science ouverte, 2024. https://doi.org/10.52949/67.

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Contrary to common expectations, 65-90% of the audience of open science platforms comes from non-academics. New research has shown that the open science movement has largely expanded the social, economic and cultural scope of scientific research. Regular users include students, non-academic professionals or private citizens. Private and public structures extensively rely on open research to create new innovations and better document existing practices or products. Significant professional uses of academic research has been attested in numerous sectors such as the aircraft industry, banking, insurances, consulting firms or the media. Social science publications and data are also fundamental resources for policy-making and devising the implementation of new legislations. Beyond commercial applications, open science has a large impact on society. With the massification of high school education, a large share of the general public feel they can benefit in some way from open science (as much as 55% in a 2011 survey in Japan). Access to publications can save lives and help solve long standing health issues: patients have been early on identified as primary beneficiaries of open science, thanks to . Specialized research can also serve a large variety of needs, functions and motivations, including contributions to projects or hobbies or simple curiosity. Finally, open science has facilitated unanticipated uses by academic researchers themselves, as it allows for undiscriminated access regardless of the discipline or the country of provenance. The development of pirate libraries like sci-hub have recently highlighted global inequalities in the access to knowledge, as universities from middle-income countries may not always subscribe to expensive publisher platforms. New tools and methods of studying the audience are being developed, as the standard bibliometrics indexes are currently limited to the academic reception of citations. Enhanced analytic infrastructures has led to the development of user-focused studies (also coinced user bibliometrics) that have been applied to major open science platforms like SciELO, Redalyc, Erudit, OpenEdition or journal.fi. Models of scientific popularization have also been rethought, as direct access to academic publications create additional channels for the circulation of knowledge. Social impact has been recently acknowledged as an important feature of open science platforms. This has shifted the objectives of scientific institutions, funders and policy-makers, encouraging notably linguistic diversity of research. Non-academic audiences are more likely to access scientific outputs in their local language: as much as 80% of the general public of the journal.fi platform read resources in Finnish.
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