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Mimicry in science?

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  • Lutz Bornmann

    (ETH Zurich)

Abstract

Since bibliometric indicators have obtained a general acceptance in science policy and attained applied relevance in research evaluation, feedback effects on scientists’ behaviour resulting from the use of these indicators for science funding decisions have been reported. These adaptation strategies could be called mimicry in science. Scientists apply strategies that should enable them to comply to bibliometric accountability and to secure funds to their own research.

Suggested Citation

  • Lutz Bornmann, 2011. "Mimicry in science?," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 173-177, January.
    • Handle: RePEc:spr:scient:v:86:y:2011:i:1:d:10.1007_s11192-010-0222-8
    DOI: 10.1007/s11192-010-0222-8
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    References listed on IDEAS

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    Cited by:

    1. Fiorenzo Franceschini & Domenico Maisano, 2011. "Proposals for evaluating the regularity of a scientist’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 279-295, July.
    2. Antonio Abatemarco & Roberto Dell'Anno, 2012. "Italian Reform of the academic recruitment system. An appraisal of ANVUR and CUN benchmarks for assessing candidates and commissioners," Rivista italiana degli economisti, Società editrice il Mulino, issue 3, pages 441-480.
    3. Carolin Michels & Ulrich Schmoch, 2014. "Impact of bibliometric studies on the publication behaviour of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 369-385, January.
    4. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano & Luca Mastrogiacomo, 2012. "The success-index: an alternative approach to the h-index for evaluating an individual’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 621-641, September.
    5. Franceschini, Fiorenzo & Maisano, Domenico, 2011. "Regularity in the research output of individual scientists: An empirical analysis by recent bibliometric tools," Journal of Informetrics, Elsevier, vol. 5(3), pages 458-468.
    6. Antonio Abatemarco & Roberto Dell’Anno, 2013. "Certainty equivalent citation: generalized classes of citation indexes," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 263-271, January.
    7. Magnone, Edoardo, 2012. "An analysis for estimating the short-term effects of Japan's triple disaster on progress in materials science," Journal of Informetrics, Elsevier, vol. 6(2), pages 289-297.
    8. Gerhard A. Wuehrer & Angela Elisabeth Smejkal, 2013. "The knowledge domain of the academy of international business studies (AIB) conferences: a longitudinal scientometric perspective for the years 2006–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 541-561, May.
    9. Johannes Hönekopp & Julie Khan, 2012. "Future publication success in science is better predicted by traditional measures than by the h index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 843-853, March.
    10. Tran, Trung & Linh, Hoang Khanh & La, Viet-Phuong & Ho, Manh-Toan & Vuong, Quan-Hoang, 2020. "Scrambling for higher metrics in the Journal Impact Factor bubble period: a real-world problem in science management and its implications," OSF Preprints dmsp9, Center for Open Science.
    11. Sergey Kolesnikov & Eriko Fukumoto & Barry Bozeman, 2018. "Researchers’ risk-smoothing publication strategies: Is productivity the enemy of impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1995-2017, September.

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