2015
DOI: 10.1002/asi.23421
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Costly collaborations: The impact of scientific fraud on co‐authors' careers

Abstract: Over the last few years, several major scientific fraud cases have shocked the scientific community. The number of retractions each year has also increased tremendously, especially in the biomedical field, and scientific misconduct accounts for approximately more than half of those retractions. It is assumed that co-authors of retracted papers are affected by their colleagues' misconduct, and the aim of this study is to provide empirical evidence of the effect of retractions in biomedical research on co-author… Show more

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Cited by 64 publications
(62 citation statements)
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“…In the worst case, they are not complicit in producing a piece of false science and are stereotyped into fraudsters themselves. Empirical evidence supports this idea: co-authors of retracted studies see their citation rates drop Mongeon and Larivière, 2015). In our case, the scientists of interest were not directly involved in false science.…”
supporting
confidence: 70%
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“…In the worst case, they are not complicit in producing a piece of false science and are stereotyped into fraudsters themselves. Empirical evidence supports this idea: co-authors of retracted studies see their citation rates drop Mongeon and Larivière, 2015). In our case, the scientists of interest were not directly involved in false science.…”
supporting
confidence: 70%
“…First, by drawing on the theory of social stigmatization (Goffman, 1963;Pontikes et al, 2010) we provide a general explanation for previously documented negative implications of scientific misconduct and retractions on closely related parties (Mongeon and Larivière, 2015) and the research field (Azoulay et al, 2014a). These articles employ three different mechanisms to describe their findings.…”
mentioning
confidence: 99%
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“…Finally, similar to Lu et al (2013), they applied Poisson regression analysis to quantify the effect of retraction to the citation rate of related articles, whereas we used a nonparametric statistical test to compare the median of citation counts between retraction-related and control articles. Mongeon and Larivière (2015) found that scholars who once coauthored with fraudulent scholars suffered from a decline in their scholarly reputation and productivity, through designing comparative tests on data from WoS. Although we use a similar dataset and methodology, we reach a totally different conclusion.…”
Section: Comparison With Prior Relevant Studiesmentioning
confidence: 86%