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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.
    2. Loet Leydesdorff & Tobias Opthof, 2010. "Scopus's source normalized impact per paper (SNIP) versus a journal impact factor based on fractional counting of citations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(11), pages 2365-2369, November.
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    5. Vladimir Pislyakov, 2009. "Comparing two “thermometers”: Impact factors of 20 leading economic journals according to Journal Citation Reports and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 541-550, June.
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    9. 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.
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    11. 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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    13. 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.
    14. Anne‐Wil Harzing & Ron van der Wal, 2009. "A Google Scholar h‐index for journals: An alternative metric to measure journal impact in economics and business," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(1), pages 41-46, January.
    15. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    16. Chun-Yang Yin & Mohd Jindra Aris & Xi Chen, 2010. "Combination of Eigenfactor TM and h-index to evaluate scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 639-648, September.
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    19. Juan Miguel Campanario, 2011. "Empirical study of journal impact factors obtained using the classical two-year citation window versus a five-year citation window," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 189-204, April.
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    Cited by:

    1. Mina Moradzadeh & Shahram Sedghi & Sirous Panahi, 2023. "Towards a new paradigm for ‘journal quality’ criteria: a scoping review," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 279-321, January.
    2. 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.
    3. 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.
    4. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    5. 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).
    6. 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.
    7. 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.

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