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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SARS-CoV-2 Codon Usage Bias Downregulates Host Expressed Genes With Similar Codon Usage
This article has 2 authors:Reviewed by ScreenIT
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Health service inequalities during the COVID-19 pandemic among elderly people living in large urban and non-urban areas in Florida, US
This article has 1 author:Reviewed by ScreenIT
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Statistical Properties of Stepped Wedge Cluster-Randomized Trials in Infectious Disease Outbreaks
This article has 2 authors:Reviewed by ScreenIT
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Spatial Inequities in COVID-19 Testing, Positivity, Confirmed Cases, and Mortality in 3 U.S. Cities
This article has 4 authors:Reviewed by ScreenIT
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Clinical features, diagnostics, and outcomes of patients presenting with acute respiratory illness: A retrospective cohort study of patients with and without COVID-19
This article has 45 authors:Reviewed by ScreenIT
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Antibodies to SARS/CoV-2 in arbitrarily-selected Atlanta residents
This article has 3 authors:Reviewed by ScreenIT
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Identification of IgG antibody response to SARS-CoV-2 spike protein and its receptor binding domain does not predict rapid recovery from COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Dose prediction for repurposing nitazoxanide in SARS‐CoV‐2 treatment or chemoprophylaxis
This article has 23 authors:Reviewed by ScreenIT
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Sinus and anterior skull base surgery during the COVID-19 pandemic: systematic review, synthesis and YO-IFOS position
This article has 15 authors:Reviewed by ScreenIT
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Fully automatic deep convolutional approaches for the analysis of COVID-19 using chest X-ray images
This article has 3 authors:Reviewed by ScreenIT