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A comment to the paper by Waltman et al., Scientometrics, 87, 467–481, 2011

Author

Listed:
  • Tobias Opthof

    (Heart Failure Research Center, Academic Medical Center AMC
    University Medical Center)

  • Loet Leydesdorff

    (University of Amsterdam)

Abstract

In reaction to a previous critique (Opthof and Leydesdorff, J Informetr 4(3):423–430, 2010), the Center for Science and Technology Studies (CWTS) in Leiden proposed to change their old “crown” indicator in citation analysis into a new one. Waltman (Scientometrics 87:467–481, 2011a) argue that this change does not affect rankings at various aggregated levels. However, CWTS data is not publicly available for testing and criticism. Therefore, we comment by using previously published data of Van Raan (Scientometrics 67(3):491–502, 2006) to address the pivotal issue of how the results of citation analysis correlate with the results of peer review. A quality parameter based on peer review was neither significantly correlated with the two parameters developed by the CWTS in the past citations per paper/mean journal citation score (CPP/JCSm) or CPP/FCSm (citations per paper/mean field citation score) nor with the more recently proposed h-index (Hirsch, Proc Natl Acad Sci USA 102(46):16569–16572, 2005). Given the high correlations between the old and new “crown” indicators, one can expect that the lack of correlation with the peer-review based quality indicator applies equally to the newly developed ones.

Suggested Citation

  • Tobias Opthof & Loet Leydesdorff, 2011. "A comment to the paper by Waltman et al., Scientometrics, 87, 467–481, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1011-1016, September.
    • Handle: RePEc:spr:scient:v:88:y:2011:i:3:d:10.1007_s11192-011-0424-8
    DOI: 10.1007/s11192-011-0424-8
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    References listed on IDEAS

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    1. Loet Leydesdorff, 2008. "Caveats for the use of citation indicators in research and journal evaluations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(2), pages 278-287, January.
    2. Jörg Neufeld & Markus von Ins, 2011. "Informed peer review and uninformed bibliometrics?," Research Evaluation, Oxford University Press, vol. 20(1), pages 31-46, March.
    3. Peter van den Besselaar & Loet Leydesdorff, 2009. "Past performance, peer review and project selection: a case study in the social and behavioral sciences," Research Evaluation, Oxford University Press, vol. 18(4), pages 273-288, October.
    4. M.H. MacRoberts & B.R. MacRoberts, 2010. "Problems of citation analysis: A study of uncited and seldom-cited influences," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(1), pages 1-12, January.
    5. M. H. MacRoberts & B. R. MacRoberts, 1987. "Another test of the normative theory of citing," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 38(4), pages 305-306, July.
    6. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    7. M.H. MacRoberts & B.R. MacRoberts, 2010. "Problems of citation analysis: A study of uncited and seldom‐cited influences," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(1), pages 1-12, January.
    8. Bornmann, Lutz & Leydesdorff, Loet & Van den Besselaar, Peter, 2010. "A meta-evaluation of scientific research proposals: Different ways of comparing rejected to awarded applications," Journal of Informetrics, Elsevier, vol. 4(3), pages 211-220.
    9. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
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    3. Santos-Rojo, Cristina & Llopis-Amorós, Malar & García-García, Juan Manuel, 2023. "Overtourism and sustainability: A bibliometric study (2018–2021)," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
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    5. Wu, Jiang, 2013. "Investigating the universal distributions of normalized indicators and developing field-independent index," Journal of Informetrics, Elsevier, vol. 7(1), pages 63-71.
    6. Ehsan Mohammadi & Mike Thelwall, 2013. "Assessing non-standard article impact using F1000 labels," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 383-395, November.
    7. Jun-Ying Fu & Xu Zhang & Yun-Hua Zhao & He-Feng Tong & Dar-Zen Chen & Mu-Hsuan Huang, 2012. "Scientific production and citation impact: a bibliometric analysis in acupuncture over three decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1061-1079, December.
    8. Ludo Waltman & Nees Jan Eck & Thed N. Leeuwen & Martijn S. Visser & Anthony F. J. Raan, 2011. "On the correlation between bibliometric indicators and peer review: reply to Opthof and Leydesdorff," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1017-1022, September.
    9. Gangan Prathap, 2012. "A comment to the papers by Opthof and Leydesdorff, Scientometrics, 88, 1011–1016, 2011 and Waltman et al., Scientometrics, 88, 1017–1022, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 737-743, February.
    10. Adriana Bin & Sergio Salles-Filho & Luiza Maria Capanema & Fernando Antonio Basile Colugnati, 2015. "What difference does it make? Impact of peer-reviewed scholarships on scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1167-1188, February.
    11. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.
    12. Gangan Prathap, 2012. "Energy indicators and percentile ranking normalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 997-1003, June.

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