Editors, publishers, and peer reviewers are continuously failing us to produce good quality science.
While the publishers are raking in money by publishing this crap, we #ImageForensics detectives are finding these fake images voluntarily and unpaid.
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There are whole groups of authors who produce these fake datasets to get the publications they need for their promotion/PhD/professorship. They are the obvious guilty persons, but we desperately need better checks to prevent this crap from being published.
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And those checks should not just be done by volunteers who quit their paid jobs or spend all their free time in order to try to improve science.
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Do journals make folks submit the
#FlowCytometry data files, and analysis software work spaces? -https://mobile.twitter.com/MicrobiomDigest/status/1228808178097221632 …
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I never submitted data files with my publications. However, we always submitted the full uncropped
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the cells migrating up into the gap the 24h "control" are the same as in the 48h mir 101, too
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Yes, I marked those in green. Or did I miss something else?
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Also found: flip the top half of 24h NC upside down and you get the bottom half of 24h siRNA-EZH2. Does your team look for these copy-pastes using human eyes or with apps? My best guess at a computational method involves convolutional neural network or Fourier transform.
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Ah, great find! I use human eyes initially, and Forensically secondary for images with lots of direct duplicates - I assume the others also do it similarly. Forensically could not detect these duplications for example.
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I don't know what could end it other than people boycotting publications that make these mistakes.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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