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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Estimated SARS-CoV-2 Seroprevalence in US Patients Receiving Dialysis 1 Year After the Beginning of the COVID-19 Pandemic
This article has 13 authors:Reviewed by ScreenIT
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Insertions in SARS-CoV-2 genome caused by template switch and duplications give rise to new variants that merit monitoring
This article has 3 authors:Reviewed by ScreenIT
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Absent or insufficient anti-SARS-CoV-2 S antibodies at ICU admission are associated to higher viral loads in plasma, antigenemia and mortality in COVID-19 patients
This article has 38 authors:Reviewed by ScreenIT
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Detection of SARS-CoV-2 variants by Abbott molecular, antigen, and serological tests
This article has 29 authors:Reviewed by ScreenIT
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Distinct systemic and mucosal immune responses during acute SARS-CoV-2 infection
This article has 21 authors:Reviewed by ScreenIT
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Bromodomain and Extraterminal Protein Inhibitor, Apabetalone (RVX-208), Reduces ACE2 Expression and Attenuates SARS-Cov-2 Infection In Vitro
This article has 12 authors:Reviewed by ScreenIT
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Original antigenic sin responses to Betacoronavirus spike proteins are observed in a mouse model, but are not apparent in children following SARS-CoV-2 infection
This article has 10 authors:Reviewed by ScreenIT
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A Small interfering RNA lead targeting RNA-dependent RNA-polymerase effectively inhibit the SARS-CoV-2 infection in Golden Syrian hamster and Rhesus macaque
This article has 10 authors:Reviewed by ScreenIT
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Controlling long-term SARS-CoV-2 infections can slow viral evolution and reduce the risk of treatment failure
This article has 8 authors:Reviewed by ScreenIT
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Rapid and Inexpensive Whole-Genome Sequencing of SARS-CoV-2 using 1200 bp Tiled Amplicons and Oxford Nanopore Rapid Barcoding
This article has 4 authors:Reviewed by ScreenIT