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Comprehensive indicator comparisons intelligible to non-experts: the case of two SNIP versions

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  • Henk F. Moed

    (Sapienza University of Rome)

Abstract

A framework is proposed for comparing different types of bibliometric indicators, introducing the notion of an Indicator Comparison Report. It provides a comprehensive overview of the main differences and similarities of indicators. The comparison shows both the strong points and the limitations of each of the indicators at stake, rather than over-promoting one indicator and ignoring the benefits of alternative constructs. It focuses on base notions, assumptions, and application contexts, which makes it more intelligible to non-experts. As an illustration, a comparison report is presented for the original and the modified source normalized impact per paper indicator of journal citation impact (SNIP).

Suggested Citation

  • Henk F. Moed, 2016. "Comprehensive indicator comparisons intelligible to non-experts: the case of two SNIP versions," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 51-65, January.
  • Handle: RePEc:spr:scient:v:106:y:2016:i:1:d:10.1007_s11192-015-1781-5
    DOI: 10.1007/s11192-015-1781-5
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    References listed on IDEAS

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    1. Wolfgang Glänzel & Henk F. Moed, 2013. "Opinion paper: thoughts and facts on bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 381-394, July.
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    5. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S., 2013. "Some modifications to the SNIP journal impact indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 272-285.
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    13. Henk F. Moed, 2011. "The source normalized impact per paper is a valid and sophisticated indicator of journal citation impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 211-213, January.
    14. Wolfgang Glänzel & András Schubert & Bart Thijs & Koenraad Debackere, 2011. "A priori vs. a posteriori normalisation of citation indicators. The case of journal ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 415-424, May.
    15. González-Pereira, Borja & Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2010. "A new approach to the metric of journals’ scientific prestige: The SJR indicator," Journal of Informetrics, Elsevier, vol. 4(3), pages 379-391.
    16. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.
    17. Loet Leydesdorff & Jung C. Shin, 2011. "How to evaluate universities in terms of their relative citation impacts: Fractional counting of citations and the normalization of differences among disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(6), pages 1146-1155, June.
    18. Michel Zitt & Henry Small, 2008. "Modifying the journal impact factor by fractional citation weighting: The audience factor," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1856-1860, September.
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    Cited by:

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    2. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    3. Pech, Gerson & Delgado, Catarina, 2021. "Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based app," Journal of Informetrics, Elsevier, vol. 15(3).
    4. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    5. David A. Pendlebury, 2019. "Charting a path between the simple and the false and the complex and unusable: Review of Henk F. Moed, Applied Evaluative Informetrics [in the series Qualitative and Quantitative Analysis of Scientifi," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 549-560, April.
    6. Lin Feng & Jian Zhou & Sheng-Lan Liu & Ning Cai & Jie Yang, 2020. "Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 233-254, July.
    7. Gerson Pech & Catarina Delgado, 2020. "Assessing the publication impact using citation data from both Scopus and WoS databases: an approach validated in 15 research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 909-924, November.

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