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Measuring scientific contributions with modified fractional counting

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  • Sivertsen, Gunnar
  • Rousseau, Ronald
  • Zhang, Lin

Abstract

We develop and propose a new counting method at the aggregate level for contributions to scientific publications called modified fractional counting (MFC). We show that, compared to traditional complete-normalized fractional counting, it eliminates the extreme differences in contributions over time that otherwise occur between scientists that mainly publish alone or in small groups and those that publish with large groups of co-authors. As an extra benefit we find that scientists in different areas of research turn out to have comparable average contributions to scientific articles. We test the method on scientists at Norway’s largest universities and find that, at an aggregate level, it indeed supports comparability across different co-authorship practices as well as between areas of research. MFC is thereby useful whenever the research output from institutions with different research profiles are compared, as e.g., in the Leiden Ranking. Finally, as MFC is actually a family of indicators, depending on a sensitivity parameter, it can be adapted to the circumstances.

Suggested Citation

  • Sivertsen, Gunnar & Rousseau, Ronald & Zhang, Lin, 2019. "Measuring scientific contributions with modified fractional counting," Journal of Informetrics, Elsevier, vol. 13(2), pages 679-694.
  • Handle: RePEc:eee:infome:v:13:y:2019:i:2:p:679-694
    DOI: 10.1016/j.joi.2019.03.010
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    Citations

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    Cited by:

    1. Csomós, György, 2020. "Introducing recalibrated academic performance indicators in the evaluation of individuals’ research performance: A case study from Eastern Europe," Journal of Informetrics, Elsevier, vol. 14(4).
    2. Darrin J. Griffin & Zachary W. Arth & Samuel D. Hakim & Brian C. Britt & James N. Gilbreath & Mackenzie P. Pike & Andrew J. Laningham & Fareed Bordbar & Sage Hart & San Bolkan, 2021. "Collaborations in communication: Authorship credit allocation via a weighted fractional count procedure," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4355-4372, May.
    3. Lin Zhang & Yahui Wei & Ying Huang & Gunnar Sivertsen, 2022. "Should open access lead to closed research? The trends towards paying to perform research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7653-7679, December.
    4. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    5. Liu, Xuan Zhen & Fang, Hui, 2023. "A geometric counting method adaptive to the author number," Journal of Informetrics, Elsevier, vol. 17(2).
    6. Jeffrey Demaine, 2022. "Fractionalization of research impact reveals global trends in university collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2235-2247, May.
    7. Gerhard Reichmann & Christian Schlögl, 2022. "On the possibilities of presenting the research performance of an institute over a long period of time: the case of the Institute of Information Science at the University of Graz in Austria," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3193-3223, June.
    8. Timur Gareev & Irina Peker, 2023. "Quantity versus quality in publication activity: knowledge production at the regional level," Papers 2311.08830, arXiv.org.
    9. Denis Kosyakov & Andrey Guskov, 2022. "Reasons and consequences of changes in Russian research assessment policies," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4609-4630, August.
    10. Ross W. K. Potter & Martin Szomszor & Jonathan Adams, 2022. "Comparing standard, collaboration and fractional CNCI at the institutional level: Consequences for performance evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7435-7448, December.
    11. Yu, Xiaoyao & Szymanski, Boleslaw K. & Jia, Tao, 2021. "Become a better you: Correlation between the change of research direction and the change of scientific performance," Journal of Informetrics, Elsevier, vol. 15(3).
    12. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.

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