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https://doi.org/10.55835/643fe...
Conference object . 2023 . Peer-reviewed
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Do men commit more scientific misconduct than women? Evidence from retracted articles

Authors: Er-Te Zheng; Hui-Zhen Fu; Zhichao Fang;

Do men commit more scientific misconduct than women? Evidence from retracted articles

Abstract

The gender disparity in scientific research has sparked extensive discussion, yet there is currently no consensus on the prevalence of scientific misconduct across genders. This study investigates this issue by collecting 5,256 retracted articles with the gender of their first authors based on the Web of Science and Retraction Watch databases. Considering the overall research productivity of both genders, our results demonstrate that male researchers generally exhibit higher retraction rates than their female counterparts in all disciplines. Female researchers retract slightly more due to falsification, while male researchers tend to retract more due to ethical issues, plagiarism, and authorship issues. In most countries with high numbers of retractions, male researchers exhibit higher retraction rates, with Iran being particularly severe. From the perspective of gender disparity, this study emphasizes the importance of addressing scientific misconduct and its underlying causes, to create a climate of accountability in the scientific community.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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