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Institution bias in the New England Journal of Medicine? A bibliometric analysis of publications (1997–2016)

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  • Yaoyu Wei

    (Huazhong Agricultural University
    Huazhong University of Science and Technology)

  • Lei Lei

    (Huazhong University of Science and Technology)

Abstract

This study is a partial replication of Delgado and Delgado (Scientometrics 115(1):607–611, 2018. https://doi.org/10.1007/s11192-017-2584-7 ) that intends to examine the issue of institution bias in New England Journal Medicine with all its articles published across two decades (1997–2016). Normalized citations of Harvard based and non-Harvard based articles were compared and the effect size of the difference was found very small. That is, no home institution bias was found with a larger sample of data across a longer span in this study, which serves as a complement to Delgado and Delgado’s (2018) findings. Important issues such as how to define intitution bias and home authors are discussed, and suggestions for future research are provided.

Suggested Citation

  • Yaoyu Wei & Lei Lei, 2018. "Institution bias in the New England Journal of Medicine? A bibliometric analysis of publications (1997–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1771-1775, December.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2948-7
    DOI: 10.1007/s11192-018-2948-7
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    References listed on IDEAS

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    1. Alberto Falk Delgado & Anna Falk Delgado, 2018. "Home institution bias in the New England Journal of Medicine? A noninferiority study on citation rates," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 607-611, April.
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    Cited by:

    1. Dengsheng Wu & Huidong Wu & Jianping Li, 2024. "Citation advantage of positive words: predictability, temporal evolution, and universality in varied quality journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4275-4293, July.
    2. Pengfei Jia & Weixi Xie & Guangyao Zhang & Xianwen Wang, 2023. "Do reviewers get their deserved acknowledgments from the authors of manuscripts?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5687-5703, October.
    3. Jaime A. Teixeira da Silva, 2021. "The Matthew effect impacts science and academic publishing by preferentially amplifying citations, metrics and status," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5373-5377, June.
    4. Xueying Liu & Haoran Zhu, 2023. "Linguistic positivity in soft and hard disciplines: temporal dynamics, disciplinary variation, and the relationship with research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3107-3127, May.

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