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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Population based mean Vitamin D levels in 19 European Countries & COVID-19 Mortality
This article has 4 authors:Reviewed by ScreenIT
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Antibody Responses to SARS-CoV-2 mRNA Vaccines Are Detectable in Saliva
This article has 20 authors:Reviewed by ScreenIT
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Alpha-1-antitrypsin and its variant-dependent role in COVID-19 pathogenesis
This article has 20 authors:Reviewed by ScreenIT
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Estimation of Secondary Household Attack Rates for Emergent Spike L452R Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants Detected by Genomic Surveillance at a Community-Based Testing Site in San Francisco
This article has 30 authors:Reviewed by ScreenIT
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N-Terminal Finger Stabilizes the S1 Pocket for the Reversible Feline Drug GC376 in the SARS-CoV-2 Mpro Dimer
This article has 12 authors:Reviewed by ScreenIT
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In vitro selection of Remdesivir resistance suggests evolutionary predictability of SARS-CoV-2
This article has 20 authors:Reviewed by ScreenIT
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SARS-CoV-2 comprehensive receptor profiling: mechanistic insight to drive new therapeutic strategies
This article has 10 authors:Reviewed by ScreenIT
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Rapid, Affordable, and Scalable SARS-CoV-2 Detection From Saliva
This article has 3 authors:Reviewed by ScreenIT
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Detection of SARS‐CoV‐2 in two cats during the second wave of the COVID‐19 pandemic in France
This article has 9 authors:Reviewed by ScreenIT
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SARS-CoV-2 antibody prevalence and correlates of six ethnic groups living in Amsterdam, the Netherlands: a population-based cross-sectional study, June–October 2020
This article has 16 authors:Reviewed by ScreenIT