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

RT @markrobinsonca: Wow! How to succeed in Swiss grants (take with grain of salt): - be a man, be old, be from ETH domain, be non-Swiss, b…
2500 days ago
RT @markrobinsonca: Wow! How to succeed in Swiss grants (take with grain of salt): - be a man, be old, be from ETH domain, be non-Swiss, b…
RT @markrobinsonca: Wow! How to succeed in Swiss grants (take with grain of salt): - be a man, be old, be from ETH domain, be non-Swiss, b…
RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
RT @markrobinsonca: Wow! How to succeed in Swiss grants (take with grain of salt): - be a man, be old, be from ETH domain, be non-Swiss, b…
RT @markrobinsonca: Wow! How to succeed in Swiss grants (take with grain of salt): - be a man, be old, be from ETH domain, be non-Swiss, b…
RT @markrobinsonca: Wow! How to succeed in Swiss grants (take with grain of salt): - be a man, be old, be from ETH domain, be non-Swiss, b…
2500 days ago
RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
RT @markrobinsonca: Wow! How to succeed in Swiss grants (take with grain of salt): - be a man, be old, be from ETH domain, be non-Swiss, b…
RT @markrobinsonca: Wow! How to succeed in Swiss grants (take with grain of salt): - be a man, be old, be from ETH domain, be non-Swiss, b…
Wow! How to succeed in Swiss grants (take with grain of salt): - be a man, be old, be from ETH domain, be non-Swiss, be in math/physics, get SNSF to pick your suggested reviewers https://t.co/on0EDuERcP From @annasvrn @eggersnsf et al.
2500 days ago
RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
2500 days ago
RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
2500 days ago
RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
2500 days ago
RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
RT @annasvrn: New preprint published! We investigated potential biases related to gender, country of affiliation and source of reviewer nom…
RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
2500 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/aQl0IWZ5CG
2500 days ago
RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…
RT @eggersnsf: Out in @PeerJPreprints: Analysis of 38250 peer review reports of 12294 @snsf_ch grant applications by @annasvrn, João Marti…