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The probability of publishing in first-quartile journals

Author

Listed:
  • Weishu Liu

    (Shanghai Jiao Tong University)

  • Guangyuan Hu

    () (Shanghai University of Finance and Economics)

  • Mengdi Gu

    (Shanghai Jiao Tong University)

Abstract

As an alternative metric of journal impact factor (JIF), journal impact factor quartile is increasingly adopted to compare the research impact of journals within and across different domains. We adopt both optimistic and pessimistic approaches to illustrate the JIF distributions of journals listed in the 2015 Journal Citation Reports. We find that at least one-third of Web of Science publications are actually published in the first quartile (high impact factor journals). In comparison, at most 16.5 % of publications are published in the fourth quartile (low impact factor journals). We argue that Bornmann and Marx’s (Scientometrics 98(1):487–509, 2014) claim that “One can expect that 25 % of a researcher’s publications have been published in the first quartile” is not precise.

Suggested Citation

  • Weishu Liu & Guangyuan Hu & Mengdi Gu, 2016. "The probability of publishing in first-quartile journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1273-1276, March.
  • Handle: RePEc:spr:scient:v:106:y:2016:i:3:d:10.1007_s11192-015-1821-1
    DOI: 10.1007/s11192-015-1821-1
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    References listed on IDEAS

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    1. Li Tang & Philip Shapira & Jan Youtie, 2015. "Is there a clubbing effect underlying Chinese research citation Increases?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1923-1932, September.
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    Cited by:

    1. Yaşar Tonta & Müge Akbulut, 2020. "Does monetary support increase citation impact of scholarly papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1617-1641, November.
    2. Fang Liu & Guangyuan Hu & Li Tang & Weishu Liu, 2018. "The penalty of containing more non-English articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 359-366, January.
    3. Weishu Liu & Yishan Ding & Mengdi Gu, 2017. "Book reviews in academic journals: patterns and dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 355-364, January.
    4. Minxian Zheng & Kuangji Zhao & Shikui Zhao & Yantong Zhang, 2020. "Effecting variables of journal’s ranking in forestry field," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 135-151, October.
    5. Walsh, John P. & Lee, You-Na & Tang, Li, 2019. "Pathogenic organization in science: Division of labor and retractions," Research Policy, Elsevier, vol. 48(2), pages 444-461.
    6. Ying Huang & Donghua Zhu & Qi Lv & Alan L. Porter & Douglas K. R. Robinson & Xuefeng Wang, 2017. "Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2041-2057, June.
    7. Bornmann, Lutz & Williams, Richard, 2017. "Can the journal impact factor be used as a criterion for the selection of junior researchers? A large-scale empirical study based on ResearcherID data," Journal of Informetrics, Elsevier, vol. 11(3), pages 788-799.
    8. 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.
    9. Gabriel-Alexandru Vȋiu & Mihai Păunescu, 2021. "The lack of meaningful boundary differences between journal impact factor quartiles undermines their independent use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1495-1525, February.
    10. Ruben Miranda & Esther Garcia-Carpintero, 2019. "Comparison of the share of documents and citations from different quartile journals in 25 research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 479-501, October.

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