@ADAlthousePhD My coauthors were concerned our preprint wouldn't count until actually published, but it seems the downloads and altmetric for the preprint are a lot higher than the published version:
https://t.co/kbHtTVFDlU
https://t.co/1i4Uur6JQs
So interesting that the @JAMA_current retractions of the Wansink articles… started with a #preprint. Maybe this will change their minds about preprints. #peerj @ASAPbio_ @medrxivpreprint @OSFramework @biorxivpreprint https://t.co/IE3oOu84JU @jsross119 https://t.co/8di3QNzXsq
Interesting. A blog post about “a student who never said no” got this ball rolling?
• https://t.co/9crqlCyifv
• https://t.co/V1s1WLYawz https://t.co/LjmKFUPdee
@ADAlthousePhD In the comments to our preprint (and through emails) multiple people pointed out some of our typos. I didn't think it was worth giving readers a new version to check for changes just to fix those. https://t.co/kbHtTVFDlU
@machinestarts Same team, Lead by Wansink. It's publishable b/c it conforms to our pre-existing views (e.g. social media companies make lots of money surely this is because they have addictive products) but has no scientific merit. https://t.co/HYynxFr141
How did this professor get his hundreds of papers past peer review? Partial answer is poor stats training of life scientists. My favourite stats "blooper": degrees of freedom larger than sample size... https://t.co/rvGCECA255 https://t.co/lhuYaO4v5h
@afbdijkstra Inderdaad. En het is niet gewoon 1 paper waarbij hij in de mist ging en bij de correctie weer in de mist ging. Het is gewoon structureel fout bij hem. https://t.co/z6Z4dHOKpY