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Comment on Bornmann (2017): confidence intervals for journal impact factors

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  • David I. Stern

    (The Australian National University)

Abstract

In this Letter to the Editor I comment on a recent Letter from Lutz Bornmann. I argue that the Poisson distribution is not an appropriate simplifying assumption to make when computing confidence intervals for journal impact factors.

Suggested Citation

  • David I. Stern, 2017. "Comment on Bornmann (2017): confidence intervals for journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1811-1813, December.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:3:d:10.1007_s11192-017-2507-7
    DOI: 10.1007/s11192-017-2507-7
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    References listed on IDEAS

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    1. Michael J. Stringer & Marta Sales-Pardo & Luís A. Nunes Amaral, 2010. "Statistical validation of a global model for the distribution of the ultimate number of citations accrued by papers published in a scientific journal," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1377-1385, July.
    2. David I. Stern, 2013. "Uncertainty Measures for Economics Journal Impact Factors," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 173-189, March.
    3. Fok, Dennis & Franses, Philip Hans, 2007. "Modeling the diffusion of scientific publications," Journal of Econometrics, Elsevier, vol. 139(2), pages 376-390, August.
    4. David I Stern, 2014. "High-Ranked Social Science Journal Articles Can Be Identified from Early Citation Information," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-11, November.
    5. Lutz Bornmann, 2017. "Confidence intervals for Journal Impact Factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1869-1871, June.
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    Cited by:

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    Keywords

    Journal impact factor; Confidence interval;

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