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A bibliometric analysis of academic publication and NIH funding

Author

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  • Yang, Jiansheng
  • Vannier, Michael W.
  • Wang, Fang
  • Deng, Yan
  • Ou, Fengrong
  • Bennett, James
  • Liu, Yang
  • Wang, Ge

Abstract

Academic productivity and research funding have been hot topics in biomedical research. While publications and their citations are popular indicators of academic productivity, there has been no rigorous way to quantify co-authors’ relative contributions. This has seriously compromised quantitative studies on the relationship between academic productivity and research funding. Here we apply an axiomatic approach and associated bibliometric measures to revisit a recent study by Ginther et al. (Ginther et al., 2011a,b) in which the probability of receiving a U.S. National Institutes of Health (NIH) R01 award was analyzed with respect to the applicant's race/ethnicity. Our results provide new insight and suggest that there is no significant racial bias in the NIH review process, in contrast to the conclusion from the study by D. K. Ginther et al. Our axiomatic approach has a potential to be widely used for scientific assessment and management.

Suggested Citation

  • Yang, Jiansheng & Vannier, Michael W. & Wang, Fang & Deng, Yan & Ou, Fengrong & Bennett, James & Liu, Yang & Wang, Ge, 2013. "A bibliometric analysis of academic publication and NIH funding," Journal of Informetrics, Elsevier, vol. 7(2), pages 318-324.
    • Handle: RePEc:eee:infome:v:7:y:2013:i:2:p:318-324
    DOI: 10.1016/j.joi.2012.11.006
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    References listed on IDEAS

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    Cited by:

    1. Jiang Wu & Miao Jin & Xiu-Hao Ding, 2015. "Diversity of individual research disciplines in scientific funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 669-686, May.
    2. Bohong Zheng & Francis Masrabaye & Gerald Madjissembaye Guiradoumngué & Jian Zheng & Linlin Liu, 2021. "Progress in Research on Sustainable Urban Renewal Since 2000: Library and Visual Analyses," Sustainability, MDPI, vol. 13(8), pages 1-28, April.
    3. Anil, Akash & Singh, Sanasam Ranbir, 2020. "Effect of class imbalance in heterogeneous network embedding: An empirical study," Journal of Informetrics, Elsevier, vol. 14(2).
    4. Fabio Zagonari, 2019. "Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined," Publications, MDPI, vol. 7(2), pages 1-30, May.
    5. Yataganbaba, Alptug & Ozkahraman, Bengi & Kurtbas, Irfan, 2017. "Worldwide trends on encapsulation of phase change materials: A bibliometric analysis (1990–2015)," Applied Energy, Elsevier, vol. 185(P1), pages 720-731.
    6. Xiaodan Zhou & Guohui Zhao, 2015. "Global liposome research in the period of 1995–2014: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 231-248, October.
    7. Donna K Ginther & Jodi Basner & Unni Jensen & Joshua Schnell & Raynard Kington & Walter T Schaffer, 2018. "Publications as predictors of racial and ethnic differences in NIH research awards," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-24, November.

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