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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Longitudinal characterization of humoral and cellular immunity in hospitalized COVID-19 patients reveal immune persistence up to 9 months after infection
This article has 25 authors:Reviewed by ScreenIT
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Novel Coronavirus Outbreak in Wuhan, China, 2020: Intense Surveillance Is Vital for Preventing Sustained Transmission in New Locations
This article has 1 author:Reviewed by ScreenIT
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No causal effect of school closures in Japan on the spread of COVID-19 in spring 2020
This article has 3 authors:Reviewed by ScreenIT
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Relative Mutant N501Y SARS-CoV-2 Spike Protein RBD Inhibition of Anti-Spike Protein IgG and ACE-2 Binding to Spike Protein Species
This article has 3 authors:Reviewed by ScreenIT
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Differential roles of RIG-I like receptors in SARS-CoV-2 infection
This article has 4 authors:Reviewed by ScreenIT
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Beyond Shielding: The Roles of Glycans in the SARS-CoV-2 Spike Protein
This article has 12 authors:Reviewed by ScreenIT
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A Simple Reverse Transcriptase PCR Melting-Temperature Assay To Rapidly Screen for Widely Circulating SARS-CoV-2 Variants
This article has 8 authors:Reviewed by ScreenIT
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Utility of a Clinical Scoring System for Point of Care Triaging in COVID-19 Pneumonia
This article has 29 authors:Reviewed by ScreenIT
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Global Association of Obesity and COVID-19 Death Rates
This article has 1 author:Reviewed by ScreenIT
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Genetic and structural basis for recognition of SARS-CoV-2 spike protein by a two-antibody cocktail
This article has 32 authors:Reviewed by ScreenIT