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Should highly cited items be excluded in impact factor calculation? The effect of review articles on journal impact factor

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  • Lei Lei

    (Huazhong University of Science and Technology)

  • Yunmei Sun

    (Huazhong University of Science and Technology)

Abstract

The use of the journal impact factor for evaluation purposes has been widely challenged because of the simplistic algorithm involved in impact factor calculation. As a result, a journal's impact factor may be affected by many variables, such as highly cited review articles. In the present study, we aimed to investigate whether and to what extent review articles affect the impact factors of journals. We examined the citations of original research articles and review articles in the field of physics, and compared the impact factors of the journals Science, Nature, and Cell with and without citation counts of review articles included. The results showed that review articles consistently received higher numbers of citations than did original research articles. In addition, review articles accounted for 3–10% of the impact factors of these top journals. Based on our findings, we suggest that sophisticated methods, in addition to the impact factor, be employed for research evaluation purposes.

Suggested Citation

  • Lei Lei & Yunmei Sun, 2020. "Should highly cited items be excluded in impact factor calculation? The effect of review articles on journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1697-1706, March.
    • Handle: RePEc:spr:scient:v:122:y:2020:i:3:d:10.1007_s11192-019-03338-y
    DOI: 10.1007/s11192-019-03338-y
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    References listed on IDEAS

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    Cited by:

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    2. Thelwall, Mike & Kousha, Kayvan & Stuart, Emma & Makita, Meiko & Abdoli, Mahshid & Wilson, Paul & Levitt, Jonathan, 2023. "Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations?," Research Policy, Elsevier, vol. 52(8).
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    5. Yves Fassin, 2021. "The impact of review articles in management and economics journal rankings and metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9623-9632, December.
    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. Guofeng Wang & Rui Shi & Wei Cheng & Lihua Gao & Xiankai Huang, 2023. "Bibliometric Analysis for Carbon Neutrality with Hotspots, Frontiers, and Emerging Trends between 1991 and 2022," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    8. Sepideh Fahimifar & Khadijeh Mousavi & Fatemeh Mozaffari & Marcel Ausloos, 2023. "Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3685-3712, August.
    9. Clemens Blümel & Alexander Schniedermann, 2020. "Studying review articles in scientometrics and beyond: a research agenda," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 711-728, July.

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