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Publication Growth in Biological Sub-Fields: Patterns, Predictability and Sustainability

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  • Marco Pautasso

    (Centre for Functional and Evolutionary Ecology (CEFE), CNRS, 34293 Montpellier, France
    Centre for Biodiversity Synthesis and Analysis (CESAB), FRB, 13857 Aix-en-Provence, France)

Abstract

Biologists are producing ever-increasing quantities of papers. The question arises of whether current rates of increase in scientific outputs are sustainable in the long term. I studied this issue using publication data from the Web of Science (1991–2010) for 18 biological sub-fields. In the majority of cases, an exponential regression explains more variation than a linear one in the number of papers published each year as a function of publication year. Exponential growth in publication numbers is clearly not sustainable. About 75% of the variation in publication growth among biological sub-fields over the two studied decades can be predicted by publication data from the first six years. Currently trendy fields such as structural biology, neuroscience and biomaterials cannot be expected to carry on growing at the current pace, because in a few decades they would produce more papers than the whole of biology combined. Synthetic and systems biology are problematic from the point of view of knowledge dissemination, because in these fields more than 80% of existing papers have been published over the last five years. The evidence presented here casts a shadow on how sustainable the recent increase in scientific publications can be in the long term.

Suggested Citation

  • Marco Pautasso, 2012. "Publication Growth in Biological Sub-Fields: Patterns, Predictability and Sustainability," Sustainability, MDPI, vol. 4(12), pages 1-14, November.
  • Handle: RePEc:gam:jsusta:v:4:y:2012:i:12:p:3234-3247:d:21726
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    1. Kaushik Matia & Luis A. Nunes Amaral & Marc Luwel & Henk F. Moed & H. Eugene Stanley, 2005. "Scaling phenomena in the growth dynamics of scientific output," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(9), pages 893-902, July.
    2. Marco Pautasso, 2010. "Worsening file-drawer problem in the abstracts of natural, medical and social science databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 193-202, October.
    3. Peter A. Lawrence, 2003. "The politics of publication," Nature, Nature, vol. 422(6929), pages 259-261, March.
    4. Tian, Yangge & Wen, Cheng & Hong, Song, 2008. "Global scientific production on GIS research by bibliometric analysis from 1997 to 2006," Journal of Informetrics, Elsevier, vol. 2(1), pages 65-74.
    5. Komarek, Timothy M. & Lupi, Frank & Kaplowitz, Michael D., 2011. "Valuing energy policy attributes for environmental management: Choice experiment evidence from a research institution," Energy Policy, Elsevier, vol. 39(9), pages 5105-5115, September.
    6. Susan Washburn Taylor & Blakely Fox Fender & Kimberly Gladden Burke, 2006. "Unraveling the Academic Productivity of Economists: The Opportunity Costs of Teaching and Service," Southern Economic Journal, John Wiley & Sons, vol. 72(4), pages 846-859, April.
    7. Carolin Michels & Ulrich Schmoch, 2012. "The growth of science and database coverage," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 831-846, December.
    8. Swapan Kumar Patra & Saroj Mishra, 2006. "Bibliometric study of bioinformatics literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 477-489, June.
    9. Ehrlich, Paul R. & Wolff, Gary & Daily, Gretchen C. & Hughes, Jennifer B. & Daily, Scott & Dalton, Michael & Goulder, Lawrence, 1999. "Knowledge and the environment," Ecological Economics, Elsevier, vol. 30(2), pages 267-284, August.
    10. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
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