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A categorization of arguments for counting methods for publication and citation indicators

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  • Gauffriau, Marianne

Abstract

Most publication and citation indicators are based on datasets with multi-authored publications and thus a change in counting method will often change the value of an indicator. Therefore it is important to know why a specific counting method has been applied. I have identified arguments for counting methods in a sample of 32 bibliometric studies published in 2016 and compared the result with discussions of arguments for counting methods in three older studies. Based on the underlying logics of the arguments I have arranged the arguments in four groups. Group 1 focuses on arguments related to what an indicator measures, Group 2 on the additivity of a counting method, Group 3 on pragmatic reasons for the choice of counting method, and Group 4 on an indicator’s influence on the research community or how it is perceived by researchers. This categorization can be used to describe and discuss how bibliometric studies with publication and citation indicators argue for counting

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  • Gauffriau, Marianne, 2017. "A categorization of arguments for counting methods for publication and citation indicators," Journal of Informetrics, Elsevier, vol. 11(3), pages 672-684.
    • Handle: RePEc:eee:infome:v:11:y:2017:i:3:p:672-684
    DOI: 10.1016/j.joi.2017.05.009
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    1. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Rosati, Francesco, 2016. "A methodology to measure the effectiveness of academic recruitment and turnover," Journal of Informetrics, Elsevier, vol. 10(1), pages 31-42.
    2. Noriyuki Morichika & Sotaro Shibayama, 2016. "Use of dissertation data in science policy research," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 221-241, July.
    3. Sonia R. Zanotto & Cristina Haeffner & Jorge A. Guimarães, 2016. "Unbalanced international collaboration affects adversely the usefulness of countries’ scientific output as well as their technological and social impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1789-1814, December.
    4. Yuret, Tolga, 2016. "Interfield equality: Journals versus researchers," Journal of Informetrics, Elsevier, vol. 10(4), pages 1196-1206.
    5. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2016. "Refrain from adopting the combination of citation and journal metrics to grade publications, as used in the Italian national research assessment exercise (VQR 2011–2014)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2053-2065, December.
    6. Fredrik Niclas Piro & Gunnar Sivertsen, 2016. "How can differences in international university rankings be explained?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2263-2278, December.
    7. Jörg Neufeld, 2016. "Determining effects of individual research grants on publication output and impact: The case of the Emmy Noether Programme (German Research Foundation)," Research Evaluation, Oxford University Press, vol. 25(1), pages 50-61.
    8. Finn Valentin & Maria Theresa Norn & Lars Alkaersig, 2016. "Orientations and outcome of interdisciplinary research: the case of research behaviour in translational medical science," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 67-90, January.
    9. Marianne Gauffriau & Peder Olesen Larsen & Isabelle Maye & Anne Roulin-Perriard & Markus Ins, 2008. "Comparisons of results of publication counting using different methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(1), pages 147-176, October.
    10. Cimini, Giulio & Zaccaria, Andrea & Gabrielli, Andrea, 2016. "Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations," Journal of Informetrics, Elsevier, vol. 10(1), pages 200-211.
    11. Kahn, Shulamit & MacGarvie, Megan, 2016. "Do return requirements increase international knowledge diffusion? Evidence from the Fulbright program," Research Policy, Elsevier, vol. 45(6), pages 1304-1322.
    12. Marco Frittelli & Loriano Mancini & Ilaria Peri, 2016. "Scientific research measures," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(12), pages 3051-3063, December.
    13. Tuomas Höylä & Christoph Bartneck & Timo Tiihonen, 2016. "The consequences of competition: simulating the effects of research grant allocation strategies," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 263-288, July.
    14. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2013. "Individual research performance: A proposal for comparing apples to oranges," Journal of Informetrics, Elsevier, vol. 7(2), pages 528-539.
    15. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    16. Marianne Gauffriau & Peder Olesen Larsen & Isabelle Maye & Anne Roulin-Perriard & Markus Ins, 2007. "Publication, cooperation and productivity measures in scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(2), pages 175-214, November.
    17. Ana Ramos & Cláudia S. Sarrico, 2016. "Past performance does not guarantee future results: lessons from the evaluation of research units in Portugal," Research Evaluation, Oxford University Press, vol. 25(1), pages 94-106.
    18. Krzysztof Klincewicz, 2016. "The emergent dynamics of a technological research topic: the case of graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 319-345, January.
    19. Thelwall, Mike & Sud, Pardeep, 2016. "National, disciplinary and temporal variations in the extent to which articles with more authors have more impact: Evidence from a geometric field normalised citation indicator," Journal of Informetrics, Elsevier, vol. 10(1), pages 48-61.
    20. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2016. "Excellence networks in science: A Web-based application based on Bayesian multilevel logistic regression (BMLR) for the identification of institutions collaborating successfully," Journal of Informetrics, Elsevier, vol. 10(1), pages 312-327.
    21. Clemens B. Fell & Cornelius J. König, 2016. "Is there a gender difference in scientific collaboration? A scientometric examination of co-authorships among industrial–organizational psychologists," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 113-141, July.
    22. Daiji Kawaguchi & Ayako Kondo & Keiji Saito, 2016. "Researchers’ career transitions over the life cycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1435-1454, December.
    23. Koski, Timo & Sandström, Erik & Sandström, Ulf, 2016. "Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution," Journal of Informetrics, Elsevier, vol. 10(4), pages 1143-1152.
    24. Peter van den Besselaar & Ulf Sandström, 2016. "Gender differences in research performance and its impact on careers: a longitudinal case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 143-162, January.
    25. Peder Olesen Larsen, 2008. "The state of the art in publication counting," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 235-251, November.
    26. Elias Sanz-Casado & Carlos García-Zorita & Ronald Rousseau, 2016. "Using h-cores to study the most-cited articles of the twenty-first century," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 243-261, July.
    27. Grant Lewison & Philip Roe & Richard Webber & Richard Sullivan, 2016. "Lung cancer researchers, 2008–2013: their sex and ethnicity," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 105-117, January.
    28. Waltman, Ludo & van Eck, Nees Jan, 2015. "Field-normalized citation impact indicators and the choice of an appropriate counting method," Journal of Informetrics, Elsevier, vol. 9(4), pages 872-894.
    29. B. Pritychenko, 2016. "Fractional authorship in nuclear physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 461-468, January.
    30. Aksnes, Dag W. & Schneider, Jesper W. & Gunnarsson, Magnus, 2012. "Ranking national research systems by citation indicators. A comparative analysis using whole and fractionalised counting methods," Journal of Informetrics, Elsevier, vol. 6(1), pages 36-43.
    31. Torger Möller & Marion Schmidt & Stefan Hornbostel, 2016. "Assessing the effects of the German Excellence Initiative with bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2217-2239, December.
    32. Wildgaard, Lorna, 2016. "A critical cluster analysis of 44 indicators of author-level performance," Journal of Informetrics, Elsevier, vol. 10(4), pages 1055-1078.
    33. Grant Lewison & Sameer Kumar & Chan-Yuan Wong & Philip Roe & Richard Webber, 2016. "The contribution of ethnic groups to Malaysian scientific output, 1982–2014, and the effects of the new economic policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1877-1893, December.
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