Gender and other potential biases in peer review: Analysis of 38,250 external peer review reports

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RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
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RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
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RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
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RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
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Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Martins et al: The gender gap observed in univariable analysis was explained by differences in age, research topics and affiliations. https://t.co/hDoZUGw7cn https://t.co/qhEePvBfGW
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Potential bias in peer review of grant applications at the Swiss National Science Foundation https://t.co/YZCTjZL0nI https://t.co/3QTN0L0558
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2507 days ago
Potential bias in peer review of grant applications at the Swiss National Science Foundation https://t.co/xQz9aCzuTB https://t.co/V60Cv5XDIy
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RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
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2507 days ago
RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
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2507 days ago
New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nomination in the @snsf_ch peer review of research grant applications. Read it here: https://t.co/SdvEJ1gxYi @PeerJ #peerreview #genderbias #leakypipeline https://t.co/Yfi67vhWWQ
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