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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Effects of B.1.1.7 and B.1.351 on COVID-19 Dynamics: A Campus Reopening Study
This article has 6 authors:Reviewed by ScreenIT
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The Prolyl-tRNA Synthetase Inhibitor Halofuginone Inhibits SARS-CoV-2 Infection
This article has 46 authors:Reviewed by ScreenIT
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Genomic monitoring unveil the early detection of the SARS‐CoV‐2 B.1.351 (beta) variant (20H/501Y.V2) in Brazil
This article has 25 authors:Reviewed by ScreenIT
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Peptide Antidotes to SARS-CoV-2 (COVID-19)
This article has 5 authors:Reviewed by ScreenIT
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A seq2seq model to forecast the COVID-19 cases, deaths and reproductive R numbers in US counties
This article has 8 authors:Reviewed by ScreenIT
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Dimeric form of SARS-CoV-2 polymerase
This article has 7 authors:Reviewed by ScreenIT
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Adverse events reported from the COVID-19 vaccines: A descriptive study based on the WHO database (VigiBase®)
This article has 13 authors:Reviewed by ScreenIT
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Co-circulation of SARS-CoV-2 Alpha and Gamma variants in Italy, February and March 2021
This article has 16 authors:Reviewed by ScreenIT
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Structural basis for SARS-CoV-2 envelope protein recognition of human cell junction protein PALS1
This article has 7 authors:Reviewed by ScreenIT
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Optimal health and economic impact of non-pharmaceutical intervention measures prior and post vaccination in England: a mathematical modelling study
This article has 11 authors:Reviewed by ScreenIT