Freeloading in biomedical research

M. P. Rozing (), T. N. Leeuwen, P. H. Reitsma, F. R. Rosendaal and N. A. Aziz
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M. P. Rozing: University of Copenhagen
T. N. Leeuwen: Leiden University
P. H. Reitsma: Leiden University Medical Center
F. R. Rosendaal: Leiden University Medical Center
N. A. Aziz: Leiden University Medical Center

Scientometrics, 2020, vol. 122, issue 1, No 4, 47-55

Abstract: Abstract The surge in the number of authors per article in the biomedical field makes it difficult to quantify the contribution of individual authors. Conventional citation metrics are typically based on the number of publications and the number of citations generated by a scientist, thereby disregarding the contribution of co-authors. Previously we developed the p-index that estimates the dependency of a scientist on co-authors during their career. In this study we aimed to evaluate the ability of the p-index to identify researchers with a relatively high degree of scientific dependence on co-authors. For this purpose, we retrieved articles, which were rejected for publication in Journal of Thrombosis and Haemostasis and subsequently published elsewhere. Assuming that authors who were added to a later version of these articles would not fulfill the full authorship criteria, we tested whether these authors showed a larger dependency on co-authors during their scientific career as would be evident from a higher p-index. In accordance with this hypothesis, authors who were added on later versions of articles showed a higher p-index than their peers, indicating an enduring pattern of dependency on other co-authors for publishing their work. This study underscores that questionable authorship practices are endemic to the biomedical research, which calls for alternative methods to evaluate a scientist’s qualities.

Keywords: Citation metric; Authorship; p-Index (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11192-018-2984-3

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