The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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Presence and short‐term persistence of SARS‐CoV ‐2 neutralizing antibodies in COVID ‐19 convalescent plasma donors
This article has 9 authors:Reviewed by ScreenIT
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Chopping the tail: How preventing superspreading can help to maintain COVID-19 control
This article has 4 authors:Reviewed by ScreenIT
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Precise Prediction of COVID-19 in Chest X-Ray Images Using KE Sieve Algorithm
This article has 3 authors:Reviewed by ScreenIT
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Histopathology and ultrastructural findings of fatal COVID-19 infections in Washington State: a case series
This article has 12 authors:Reviewed by ScreenIT
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Impaired ICOS signaling between Tfh and B cells distinguishes hospitalized from ambulatory CoViD-19 patients
This article has 9 authors:Reviewed by ScreenIT
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D614G substitution at the hinge region enhances the stability of trimeric SARS-CoV-2 spike protein
This article has 4 authors:Reviewed by ScreenIT
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Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2
This article has 8 authors:This article has been curated by 1 group: -
Responsiveness to risk explains large variation in COVID-19 mortality across countries
This article has 2 authors:Reviewed by ScreenIT
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Association between Hydroxyzine Use and Reduced Mortality in Patients Hospitalized for Coronavirus Disease 2019: Results from a multicenter observational study
This article has 18 authors:Reviewed by ScreenIT
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The Outcome of COVID-19 Patients with Acute Myocardial Infarction
This article has 25 authors:Reviewed by ScreenIT