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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A cross-sectional study of infection control measures against COVID-19 and psychological distress among Japanese workers
This article has 10 authors:Reviewed by ScreenIT
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Innate immune deficiencies are associated with severity and poor prognosis in patients with COVID-19
This article has 13 authors:Reviewed by ScreenIT
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Using Proper Mean Generation Intervals in Modeling of COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Regulation of the Dimerization and Activity of SARS-CoV-2 Main Protease through Reversible Glutathionylation of Cysteine 300
This article has 10 authors:Reviewed by ScreenIT
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Children Have Similar Reverse Transcription Polymerase Chain Reaction Cycle Threshold for Severe Acute Respiratory Syndrome Coronavirus 2 in Comparison With Adults
This article has 15 authors:Reviewed by ScreenIT
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The SARS-CoV-2 Nsp3 macrodomain reverses PARP9/DTX3L-dependent ADP-ribosylation induced by interferon signaling
This article has 12 authors:Reviewed by ScreenIT
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Blunted Fas signaling favors RIPK1-driven neutrophil necroptosis in critically ill COVID-19 patients
This article has 17 authors:Reviewed by ScreenIT
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Live imaging of SARS-CoV-2 infection in mice reveals that neutralizing antibodies require Fc function for optimal efficacy
This article has 33 authors:Reviewed by ScreenIT
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Attitudes Toward COVID-19 Illness and COVID-19 Vaccination among Pregnant Women: A Cross-Sectional Multicenter Study during August–December 2020
This article has 18 authors:Reviewed by ScreenIT
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Quantifying previous SARS-CoV-2 infection through mixture modelling of antibody levels
This article has 15 authors:Reviewed by ScreenIT