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Relevance of document types in the scores’ calculation of a specific field-normalized indicator: Are the scores strongly dependent on or nearly independent of the document type handling?

Author

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  • Robin Haunschild

    (Max Planck Institute for Solid State Research)

  • Lutz Bornmann

    (Max Planck Institute for Solid State Research
    Administrative Headquarters of the Max Planck Society)

Abstract

Although it is bibliometric standard to employ field normalization, the detailed procedure of field normalization is not standardized regarding the handling of the document types. All publications without filtering the document type can be used or only selected document types. Furthermore, the field-normalization procedure can be carried out with regard to the document type of publications or without. We studied if the field-normalized scores strongly depend on the choice of different document type handlings. In doing so, we used the publications from the Web of Science between 2000 and 2017 and compared different field-normalized scores. We compared the results on the individual publication level, the country level, and the institutional level. We found rather high correlations between the different scores but the concordance values provide a more differentiated conclusion: Rather different scores are produced on the individual publication level. As our results on the aggregated levels are not supported by our results on the level of individual publications, any comparison of normalized scores that result from different procedures should only be performed with caution.

Suggested Citation

  • Robin Haunschild & Lutz Bornmann, 2022. "Relevance of document types in the scores’ calculation of a specific field-normalized indicator: Are the scores strongly dependent on or nearly independent of the document type handling?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4419-4438, August.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:8:d:10.1007_s11192-022-04446-y
    DOI: 10.1007/s11192-022-04446-y
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    References listed on IDEAS

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    1. Ludo Waltman & Clara Calero‐Medina & Joost Kosten & Ed C.M. Noyons & Robert J.W. Tijssen & Nees Jan van Eck & Thed N. van Leeuwen & Anthony F.J. van Raan & Martijn S. Visser & Paul Wouters, 2012. "The Leiden ranking 2011/2012: Data collection, indicators, and interpretation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2419-2432, December.
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    4. John P A Ioannidis & Kevin Boyack & Paul F Wouters, 2016. "Citation Metrics: A Primer on How (Not) to Normalize," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-7, September.
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    6. Haunschild, Robin & Daniels, Angela D. & Bornmann, Lutz, 2022. "Scores of a specific field-normalized indicator calculated with different approaches of field-categorization: Are the scores different or similar?," Journal of Informetrics, Elsevier, vol. 16(1).
    7. Diana Hicks & Paul Wouters & Ludo Waltman & Sarah de Rijcke & Ismael Rafols, 2015. "Bibliometrics: The Leiden Manifesto for research metrics," Nature, Nature, vol. 520(7548), pages 429-431, April.
    8. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
    9. Ludo Waltman & Clara Calero-Medina & Joost Kosten & Ed C.M. Noyons & Robert J.W. Tijssen & Nees Jan Eck & Thed N. Leeuwen & Anthony F.J. Raan & Martijn S. Visser & Paul Wouters, 2012. "The Leiden ranking 2011/2012: Data collection, indicators, and interpretation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2419-2432, December.
    10. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
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