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Is the new citation-rank approach P100′ in bibliometrics really new?

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  • Schreiber, Michael

Abstract

The percentile-based rating scale P100 describes the citation impact in terms of the distribution of unique citation values. This approach has recently been refined by considering also the frequency of papers with the same citation counts. Here I compare the resulting P100′ with P100 for an empirical dataset and a simple fictitious model dataset. It is shown that P100′ is not much different from standard percentile-based ratings in terms of citation frequencies. A new indicator P100″ is introduced.

Suggested Citation

  • Schreiber, Michael, 2014. "Is the new citation-rank approach P100′ in bibliometrics really new?," Journal of Informetrics, Elsevier, vol. 8(4), pages 997-1004.
    • Handle: RePEc:eee:infome:v:8:y:2014:i:4:p:997-1004
    DOI: 10.1016/j.joi.2014.10.001
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    References listed on IDEAS

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    1. Loet Leydesdorff, 2012. "Accounting for the uncertainty in the evaluation of percentile ranks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2349-2350, November.
    2. Loet Leydesdorff & Lutz Bornmann & Rüdiger Mutz & Tobias Opthof, 2011. "Turning the tables on citation analysis one more time: Principles for comparing sets of documents," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1370-1381, July.
    3. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
    4. Lutz Bornmann & Rüdiger Mutz, 2014. "From P100 to P100': A new citation-rank approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(9), pages 1939-1943, September.
    5. Loet Leydesdorff & Lutz Bornmann, 2011. "Integrated impact indicators compared with impact factors: An alternative research design with policy implications," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2133-2146, November.
    6. Schreiber, Michael, 2014. "Examples for counterintuitive behavior of the new citation-rank indicator P100 for bibliometric evaluations," Journal of Informetrics, Elsevier, vol. 8(3), pages 738-748.
    7. Michael Schreiber, 2013. "Uncertainties and ambiguities in percentiles and how to avoid them," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(3), pages 640-643, March.
    8. Ronald Rousseau, 2012. "Basic properties of both percentile rank scores and the I3 indicator," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 416-420, February.
    9. Ronald Rousseau, 2012. "Basic properties of both percentile rank scores and the I3 indicator," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(2), pages 416-420, February.
    10. Michael Schreiber, 2013. "Uncertainties and ambiguities in percentiles and how to avoid them," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(3), pages 640-643, March.
    11. Ludo Waltman & Michael Schreiber, 2013. "On the calculation of percentile-based bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 372-379, February.
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    Cited by:

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    2. Bornmann, Lutz & Marx, Werner, 2015. "Methods for the generation of normalized citation impact scores in bibliometrics: Which method best reflects the judgements of experts?," Journal of Informetrics, Elsevier, vol. 9(2), pages 408-418.

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