ScreenIT
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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Angiotensin converting enzyme 2 (ACE2) is expressed in murine cutaneous under single-cell transcriptome resolution
This article has 6 authors:Reviewed by ScreenIT
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Inhibition of SARS-CoV-2 spike protein palmitoylation reduces virus infectivity
This article has 11 authors:Reviewed by ScreenIT
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The consequences of a year of the COVID-19 pandemic for the mental health of young adult twins in England and Wales
This article has 17 authors:Reviewed by ScreenIT
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A joint hierarchical model for the number of cases and deaths due to COVID-19 across the boroughs of Montreal
This article has 3 authors:Reviewed by ScreenIT
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Effect of working place infection control practices on workers' psychological distress: A large-scale cohort study during the COVID-19 pandemic in Japan
This article has 9 authors:Reviewed by ScreenIT
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Analytical performance of eleven SARS-CoV-2 antigen-detecting rapid tests for Delta variant
This article has 7 authors:Reviewed by ScreenIT
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Feasibility and acceptability of daily testing at school as an alternative to self-isolation following close contact with a confirmed case of COVID-19: a qualitative analysis
This article has 8 authors:Reviewed by ScreenIT
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An Assessment of a Rapid SARS-CoV-2 Antigen Test in Bangladesh
This article has 17 authors:Reviewed by ScreenIT
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Randomised controlled trial of intravenous nafamostat mesylate in COVID pneumonitis: Phase 1b/2a experimental study to investigate safety, Pharmacokinetics and Pharmacodynamics
This article has 49 authors:Reviewed by ScreenIT
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A Cell-Free Assay for Rapid Screening of Inhibitors of hACE2-Receptor–SARS-CoV-2-Spike Binding
This article has 11 authors:Reviewed by ScreenIT