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Journal articles on the topic 'Age-productivity'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Tauer, Loren. "Age and Farmer Productivity." Review of Agricultural Economics 17, no. 1 (1995): 63. http://dx.doi.org/10.2307/1349655.

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2

Fernández-Ballesteros, Rocío, María Dolores Zamarrón, Juan Díez-Nicolás, María Dolores López-Bravo, María Ángeles Molina, and Rocío Schettini. "Productivity in Old Age." Research on Aging 33, no. 2 (2011): 205–26. http://dx.doi.org/10.1177/0164027510395398.

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3

Göbel, Christian, and Thomas Zwick. "Age and Productivity: Sector Differences." De Economist 160, no. 1 (2011): 35–57. http://dx.doi.org/10.1007/s10645-011-9173-6.

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4

Choudhry, Misbah Tanveer, Enrico Marelli, and Marcello Signorelli. "Age dependency and labour productivity divergence." Applied Economics 48, no. 50 (2016): 4823–45. http://dx.doi.org/10.1080/00036846.2016.1167823.

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5

Grosse, Scott D., Kurt V. Krueger, and Mercy Mvundura. "Economic Productivity by Age and Sex." Medical Care 47, Supplement (2009): S94—S103. http://dx.doi.org/10.1097/mlr.0b013e31819c9571.

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6

Skirbekk, Vegard. "Age and Individual Productivity: A Literature Survey." Vienna Yearbook of Population Research 1, no. 2004 (2004): 133–54. http://dx.doi.org/10.1553/populationyearbook2004s133.

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7

HEIJDRA, BEN J., and LAURIE S. M. REIJNDERS. "Longevity shocks with age-dependent productivity growth." Journal of Pension Economics and Finance 17, no. 2 (2017): 200–230. http://dx.doi.org/10.1017/s147474721600024x.

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AbstractThe aim of this paper is to study the long-run effects of a longevity increase on individual decisions about education and retirement, taking macroeconomic repercussions through endogenous factor prices and the pension system into account. We build a model of a closed economy inhabited by overlapping generations of finitely-lived individuals whose labour productivity depends on their age through the build-up of labour market experience and the depreciation of human capital. We make two contributions to the literature on the macroeconomics of population ageing. First, we show that it is

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8

Lawrence, Janet H., and Robert T. Blackburn. "Age as a Predictor of Faculty Productivity." Journal of Higher Education 59, no. 1 (1988): 22–38. http://dx.doi.org/10.1080/00221546.1988.11778302.

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9

Levin, Sharon G., and Paula E. Stephan. "Age and research productivity of academic scientists." Research in Higher Education 30, no. 5 (1989): 531–49. http://dx.doi.org/10.1007/bf00992202.

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10

Huergo, Elena, and Jordi Jaumandreu. "Firms' age, process innovation and productivity growth." International Journal of Industrial Organization 22, no. 4 (2004): 541–59. http://dx.doi.org/10.1016/j.ijindorg.2003.12.002.

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11

van Ours, Jan C., and Lenny Stoeldraijer. "Age, Wage and Productivity in Dutch Manufacturing." De Economist 159, no. 2 (2011): 113–37. http://dx.doi.org/10.1007/s10645-011-9159-4.

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12

Pestieau, Pierre, and Gregory Ponthiere. "Optimal fertility under age-dependent labour productivity." Journal of Population Economics 30, no. 2 (2016): 621–46. http://dx.doi.org/10.1007/s00148-016-0627-7.

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13

Lyashuk, A. R. "COMPARATIVE EVALUATION OF MILK PRODUCTIVITY OF HOLSTEIN COWS DIFFERENT LINES IN DIFFERENT AGE PERIODS." Bulletin of Agrarian Science 6, no. 87 (2020): 189–95. http://dx.doi.org/10.17238/issn2587-666x.2020.6.189.

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14

Uppal, R. K., and Puneet Bansal. "Productivity of Indian Commercial Banks in E-Age." Asian Journal of Research in Business Economics and Management 7, no. 11 (2017): 91. http://dx.doi.org/10.5958/2249-7307.2017.00187.6.

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15

Skans, Oskar Nordström. "How does the age structure affect regional productivity?" Applied Economics Letters 15, no. 10 (2008): 787–90. http://dx.doi.org/10.1080/13504850600749123.

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16

Haynes, Ray M. "The ATM at age twenty: A productivity paradox." National Productivity Review 9, no. 3 (1990): 273–80. http://dx.doi.org/10.1002/npr.4040090304.

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17

Shuman, Stephen K., and Gestur B. Davidson. "Patient age, service mix and dental practice productivity." Gerodontology 11, no. 1 (1994): 50–56. http://dx.doi.org/10.1111/j.1741-2358.1994.tb00103.x.

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18

Whelan, Karl. "Embodiment, productivity, and the age distribution of capital." Journal of Macroeconomics 29, no. 4 (2007): 724–40. http://dx.doi.org/10.1016/j.jmacro.2005.11.006.

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19

Du, Jun, Tomasz Mickiewicz, and Mustapha Douch. "Individual and Institutional Ownership, Firm Age and Productivity." Journal of Competitiveness 13, no. 1 (2021): 23–41. http://dx.doi.org/10.7441/joc.2021.01.02.

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Total factor productivity represents a dimension of output that cannot be attributed to factors of production; it is unique to the firm, and central to its competitiveness. We posit that ownership structure plays a key role in productivity. However, ownership structure has an effect on productivity which changes with a firm’s age. Ownership structure that is optimal for new firms may not be optimal for older firms. We here consider the impact of ownership structure as defined by shares of individuals’ versus (broadly defined) institutional ownership. Our empirical counterpart draws on the UK c

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20

Kanazawa, Satoshi. "Why productivity fades with age: The crime–genius connection." Journal of Research in Personality 37, no. 4 (2003): 257–72. http://dx.doi.org/10.1016/s0092-6566(02)00538-x.

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21

Kyvik, Svein. "Age and scientific productivity. Differences between fields of learning." Higher Education 19, no. 1 (1990): 37–55. http://dx.doi.org/10.1007/bf00142022.

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22

Kanalina, N. M., V. A. Baranov, and L. A. Rakhmatov. "AGE CHANGE IN PRODUCTIVITY OF COWS OF DIFFERENT LINES." Scientific Notes Kazan Bauman State Academy of Veterinary Medicine 246, no. 2 (2021): 103–7. http://dx.doi.org/10.31588/2413-4201-1883-246-2-103-107.

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The age dynamics of milk productivity of cows has been studied. It has an unequal character depending on the lineage and individual characteristics of the breeding bulls. This must be taken into account when predicting the effect of selection for these traits.

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23

Tretyakova, Olga, Valentina Nefyodova, Victoria Solonnikova, and Svetlana Romantsova. "Age of first insemination of gilts and their productivity." E3S Web of Conferences 273 (2021): 02020. http://dx.doi.org/10.1051/e3sconf/202127302020.

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The influence of the age of the first insemination of pigs on their subsequent productivity was evaluated. In the period from 2017 to 2020, 167 pigs were inseminated in the company Plemzavod-Yubileyny in the Tyumen region, which were divided into groups. Productivity indicators were analyzed based on the number of piglets born. In 2017, 12.5 piglets were obtained in group III, where the age of the first insemination was 241-253 days, and 12.7 piglets were obtained in group VI (281-311 days). In 2018, 101 sows were farrowed out of 164 heads (groups I, II, III), 1123 piglets were received from t

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24

Audina, Nirma, Raizal Fahmi Solihat, and Asep Purwanto. "PENGARUH KELAS UMUR TERHADAP PRODUKTIVITAS GETAH POHON PINUS MERKUSII DI KPH BANDUNG UTARA." Wanamukti: Jurnal Penelitian Kehutanan 23, no. 1 (2021): 10. http://dx.doi.org/10.35138/wanamukti.v23i1.176.

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This research was carried out in RPH Ujung Berung, BKPH Manglayang Barat KPH Bandung Utara, and Divisi Regional Jawa Barat & Banten. The time of the research was conducted from September to November 2018. The purpose of this study was to determine the effect the effect of age classes, diameter difference and interaction between age and diameter. Based on the results of the research it can be concluded that the productivity of pine resin is affected by the age class. It showed by data increased in age class followed by increased productivity of resin. Age Class IV is 13.26 grams, Age Class

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25

Appelbaum, Steven H., Richard Wenger, Carolina Pachon Buitrago, and Ravneet Kaur. "The effects of old-age stereotypes on organizational productivity (part two)." Industrial and Commercial Training 48, no. 5 (2016): 241–48. http://dx.doi.org/10.1108/ict-02-2015-0014.

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Purpose – The purpose of this paper is to examine common stereotypes regarding old-age workers and the effect of these stereotypes on organizational productivity, as well as to suggest practical solutions for accommodating old-age workers and increasing productivity in all employees. Design/methodology/approach – This three part paper will present a thorough review of relevant literature (1991-2014, with the exception of two studies from 1976) that were conducted on the topics of old-age stereotyping, the effect of old-age stereotyping on organizational productivity, and methods for adequately

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26

Appelbaum, Steven H., Richard Wenger, Carolina Pachon Buitrago, and Ravneet Kaur. "The effects of old-age stereotypes on organizational productivity (part one)." Industrial and Commercial Training 48, no. 4 (2016): 181–88. http://dx.doi.org/10.1108/ict-02-2015-0015.

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Purpose – The purpose of this paper is to examine common stereotypes regarding old-age workers and the effect of these stereotypes on organizational productivity, as well as to suggest practical solutions for accommodating old-age workers and increasing productivity in all employees. Design/methodology/approach – This three part paper will present a thorough review of relevant literature (1991-2014, with the exception of two studies from 1976) that were conducted on the topics of old-age stereotyping, the effect of old-age stereotyping on organizational productivity, and methods for adequately

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27

Appelbaum, Steven H., Richard Wenger, Carolina Pachon Buitrago, and Ravneet Kaur. "The effects of old-age stereotypes on organizational productivity (part three)." Industrial and Commercial Training 48, no. 6 (2016): 303–10. http://dx.doi.org/10.1108/ict-02-2015-0016.

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Purpose – The purpose of this paper is to examine common stereotypes regarding old-age workers and the effect of these stereotypes on organizational productivity, as well as to suggest practical solutions for accommodating old-age workers and increasing productivity in all employees. Design/methodology/approach – This three part paper will present a thorough review of relevant literature (1991-2014, with the exception of two studies from 1976) that were conducted on the topics of old-age stereotyping, the effect of old-age stereotyping on organizational productivity, and methods for adequately

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28

Roosaar, Liis, Jaan Masso, and Urmas Varblane. "Age-related productivity decrease in high-waged and low-waged employees." International Journal of Manpower 40, no. 6 (2019): 1151–70. http://dx.doi.org/10.1108/ijm-03-2018-0086.

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Purpose The purpose of this paper is to clarify whether the age-productivity curve is different for low-waged and high-waged employees. Design/methodology/approach Productivity growth is decomposed at the firm level into contributions by hired, separated and staying workers. Based on a matched employer-employee database of Estonian firms from 2006 to 2014 and considering the age as well as wages of employees, a panel data model with fixed effects is constructed to show the relative productivity of each cohort of employees. Findings High-waged employees appeared to be relatively more productive

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29

Cucculelli, Marco, Lidia Mannarino, Valeria Pupo, and Fernanda Ricotta. "Owner-Management, Firm Age, and Productivity in Italian Family Firms." Journal of Small Business Management 52, no. 2 (2014): 325–43. http://dx.doi.org/10.1111/jsbm.12103.

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30

Lemoine, W. "Industrial research output and productivity according to age in India." Research Evaluation 1, no. 3 (1991): 161–74. http://dx.doi.org/10.1093/rev/1.3.161.

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31

Frini, Olfa, and Khoutem Jedidia. "Population age structure change and labour productivity: Evidence from Tunisia." European Journal of Applied Economics 16, no. 1 (2019): 1–19. http://dx.doi.org/10.5937/ejae15-18209.

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32

JONES, JAMES E. "RELATIONSHIP BETWEEN CAREER AGE AND RESEARCH PRODUCTIVITY FOR ACADEMIC DENTISTS." Psychological Reports 69, no. 5 (1991): 331. http://dx.doi.org/10.2466/pr0.69.5.331-335.

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33

Lawrence, Janet H., and Robert T. Blackburn. "Age as a Predictor of Faculty Productivity: Three Conceptual Approaches." Journal of Higher Education 59, no. 1 (1988): 22. http://dx.doi.org/10.2307/1981869.

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34

Ekelund, Robert B., John D. Jackson, and Robert D. Tollison. "Age and productivity: An empirical study of early American artists." Southern Economic Journal 81, no. 4 (2015): 1096–116. http://dx.doi.org/10.1002/soej.12050.

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35

Bertoni, Marco, Giorgio Brunello, and Lorenzo Rocco. "Selection and the age – productivity profile. Evidence from chess players." Journal of Economic Behavior & Organization 110 (February 2015): 45–58. http://dx.doi.org/10.1016/j.jebo.2014.11.011.

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36

Van Heeringen, A., and P. A. Dijkwel. "The relationships between age, mobility and scientific productivity. Part I." Scientometrics 11, no. 5-6 (1987): 267–80. http://dx.doi.org/10.1007/bf02279349.

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37

Van Heeringen, A., and P. A. Dijkwel. "The relationships between age, mobility and scientific productivity. Part II." Scientometrics 11, no. 5-6 (1987): 281–93. http://dx.doi.org/10.1007/bf02279350.

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38

Cohen, J. E. "Size, age and productivity of scientific and technical research groups." Scientometrics 20, no. 3 (1991): 395–416. http://dx.doi.org/10.1007/bf02019761.

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39

Mahlberg, Bernhard, Inga Freund, Jesús Crespo Cuaresma, and Alexia Prskawetz. "The age-productivity pattern: Do location and sector affiliation matter?" Journal of the Economics of Ageing 1-2 (November 2013): 72–82. http://dx.doi.org/10.1016/j.jeoa.2013.08.002.

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40

Jones, James E., Wayne P. Jones, and Gerald C. Preusz. "Relationship between Career Age and Research Productivity for Academic Dentists." Psychological Reports 69, no. 1 (1991): 331–35. http://dx.doi.org/10.2466/pr0.1991.69.1.331.

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41

Lordkipanidze, Nazibrola, and Loren W. Tauer. "Farmer Efficiency and Technology Use with Age." Agricultural and Resource Economics Review 29, no. 1 (2000): 24–31. http://dx.doi.org/10.1017/s1068280500001404.

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Productivity of U.S. farmers by age is measured by non-parametric programming using 1992 Census data, decomposed into efficiency and technology Malmquist index components.Productivity increases slightly with age and then decreases. In most states productivity variations are from technology use rather than efficiency differences.

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42

Setiadi, Pompong B., Ratna Ursula, Rismawa ti, and Made Setini. "Labour Productivity, Work Experience, Age and Education: The Case of Lurik Weaving Industry in Klaten, Indonesia." Webology 17, no. 2 (2020): 487–502. http://dx.doi.org/10.14704/web/v17i2/web17047.

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The study of productivity effects of changes in education, work experience, and age of labor force is of paramount importance because it has a direct impact on high and low performers among organizations. However, there is a significant gap in studies on exploring the quality of such work-life in Indonesia. This study seeks to analyze 1) the productivity effects of changes in education and age of the labor sector; 2) the productivity effect of work experience; and (4) the productivity effects of wages on craftsmen's lurik weaving fabric in Klaten district of Indonesia. The results drawn from t

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43

Kurniasari, Irianti, and Adi Prayoga Prayoga. "Pengaruh Umur Transplantasi Benih terhadap Pertumbuhan dan Poduktivitas Varietas Lokal Jenis Padi Merah (Oryza Sativa L)." Agrotechnology Research Journal 2, no. 1 (2018): 11. http://dx.doi.org/10.20961/agrotechresj.v2i1.18944.

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<p>One of the efforts to increase the national rice productivity is by improving rice cultivation system. Seed is one of the important factor in the cultivation of rice crops. Seed quality influenced by the age of seed in the nursery before planting. Indirectly, the age of seed transplantation will affect the growth and productivity of rice crops. This research conducted to find out the effect age of seed transplantation and the suitable age of seed transplantation to obtain the optimal rice productivity. Completely Random Block Design were used in this research with the age of seed tran

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44

Simonton, Dean Keith. "Age and Creative Productivity: Nonlinear Estimation of an Information-Processing Model." International Journal of Aging and Human Development 29, no. 1 (1989): 23–37. http://dx.doi.org/10.2190/u81m-7lwl-xxn4-10t8.

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A two-step cognitive model is outlined that explicates the key empirical findings on the relation between age and creative productivity. Two primary information-processing parameters, the ideation and elaboration rates, define a mathematical function that both describes the age curves and specifies how those curves vary across disciplines. To validate the model further, a nonlinear estimation program was applied to previously published tabulations on the longitudinal fluctuations in creative output. The resulting parameter estimates also yield the expected peak age and the creative half-life f

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45

Pate, F. M., J. R. Crockett, and J. D. Phillips. "Effect of Calf Weaning Age and Cow Supplementation on Cow Productivity." Journal of Animal Science 61, no. 2 (1985): 343–48. http://dx.doi.org/10.2527/jas1985.612343x.

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46

Brenner, M. Harvey. "Years of Life Lost, Age Discrimination, and the Myth of Productivity." American Journal of Public Health 107, no. 10 (2017): 1535–37. http://dx.doi.org/10.2105/ajph.2017.304020.

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47

Liu, Huju, and Jianmin Tang. "Age-productivity profiles of entrants and exits: evidence from Canadian manufacturing." Structural Change and Economic Dynamics 40 (March 2017): 26–36. http://dx.doi.org/10.1016/j.strueco.2016.11.003.

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48

Holder, R. B., W. R. Lamberson, R. O. Bates, and T. J. Safranski. "Lifetime productivity in gilts previously selected for decreased age at puberty." Animal Science 61, no. 1 (1995): 115–21. http://dx.doi.org/10.1017/s135772980001359x.

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AbstractA study was conducted to evaluate the effect of decreasing age of puberty on lifetime productivity in sows. Two lines of gilts from the Nebraska Gene Pool population were used in this study: a line that had been selected for decreased age at puberty (AP) and a line in which selection had been random (RS). The study was conducted in two parts. In part one, 75 gilts were mated at second oestrus and the productivity measured over five parities. A second experiment utilizing 68 gilts was conducted to provide further data for comparing litter size at parity 1, and also to compare ovulation

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49

Castellucci, Fabrizio, Mario Padula, and Giovanni Pica. "The age-productivity gradient: Evidence from a sample of F1 drivers." Labour Economics 18, no. 4 (2011): 464–73. http://dx.doi.org/10.1016/j.labeco.2010.09.002.

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50

Tedesco, Pablo A. "The race to publish in the age of ever-increasing productivity." Natures Sciences Sociétés 19, no. 4 (2011): 432–35. http://dx.doi.org/10.1051/nss/2011160.

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