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A critical evaluation of the algorithm behind the Relative Citation Ratio (RCR)

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  • A Cecile J W Janssens
  • Michael Goodman
  • Kimberly R Powell
  • Marta Gwinn

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  • A Cecile J W Janssens & Michael Goodman & Kimberly R Powell & Marta Gwinn, 2017. "A critical evaluation of the algorithm behind the Relative Citation Ratio (RCR)," PLOS Biology, Public Library of Science, vol. 15(10), pages 1-5, October.
    • Handle: RePEc:plo:pbio00:2002536
    DOI: 10.1371/journal.pbio.2002536
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    References listed on IDEAS

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    1. Henk F. Moed, 2007. "The effect of “open access” on citation impact: An analysis of ArXiv's condensed matter section," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2047-2054, November.
    2. B Ian Hutchins & Xin Yuan & James M Anderson & George M Santangelo, 2016. "Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-25, September.
    3. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    4. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    5. Lutz Bornmann & Robin Haunschild, 2017. "Relative Citation Ratio (RCR): An empirical attempt to study a new field-normalized bibliometric indicator," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 1064-1067, April.
    6. Parolo, Pietro Della Briotta & Pan, Raj Kumar & Ghosh, Rumi & Huberman, Bernardo A. & Kaski, Kimmo & Fortunato, Santo, 2015. "Attention decay in science," Journal of Informetrics, Elsevier, vol. 9(4), pages 734-745.
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    Citations

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    Cited by:

    1. B Ian Hutchins & Travis A Hoppe & Rebecca A Meseroll & James M Anderson & George M Santangelo, 2017. "Additional support for RCR: A validated article-level measure of scientific influence," PLOS Biology, Public Library of Science, vol. 15(10), pages 1-3, October.
    2. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "Globalised vs averaged: Bias and ranking performance on the author level," Journal of Informetrics, Elsevier, vol. 13(1), pages 299-313.
    3. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
    4. Janne-Tuomas Seppänen & Hanna Värri & Irene Ylönen, 2022. "Co-citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3523-3541, June.
    5. Živan Živković & Marija Panić, 2020. "Development of science and education in the Western Balkan countries: competitiveness with the EU," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2319-2339, September.
    6. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "On the interplay between normalisation, bias, and performance of paper impact metrics," Journal of Informetrics, Elsevier, vol. 13(1), pages 270-290.
    7. Thelwall, Mike, 2018. "Dimensions: A competitor to Scopus and the Web of Science?," Journal of Informetrics, Elsevier, vol. 12(2), pages 430-435.
    8. Bornmann, Lutz & Marx, Werner, 2018. "Critical rationalism and the search for standard (field-normalized) indicators in bibliometrics," Journal of Informetrics, Elsevier, vol. 12(3), pages 598-604.

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