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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A Potential Novel COVID-19 Vaccine With RBD-HR1/HR2 Hexamer Structure
This article has 17 authors:Reviewed by ScreenIT
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Inactivation of SARS-CoV-2 and COVID-19 Patient Samples for Contemporary Immunology and Metabolomics Studies
This article has 15 authors:Reviewed by ScreenIT
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Tunneling nanotubes provide a route for SARS-CoV-2 spreading
This article has 5 authors:Reviewed by ScreenIT
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Comparing protein–protein interaction networks of SARS-CoV-2 and (H1N1) influenza using topological features
This article has 3 authors:Reviewed by ScreenIT
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Attenuation of Antibody Titers from 3 to 6 Months after the Second Dose of the BNT162b2 Vaccine Depends on Sex, with Age and Smoking Risk Factors for Lower Antibody Titers at 6 Months
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 infection in free-ranging white-tailed deer ( Odocoileus virginianus )
This article has 20 authors: -
A novel histone deacetylase inhibitor‐based approach to eliminate microglia and retain astrocyte properties in glial cell culture
This article has 4 authors:Reviewed by ScreenIT
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Evidence for a long-range RNA-RNA interaction between ORF8 and Spike of SARS-CoV-2
This article has 4 authors:Reviewed by ScreenIT
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Low Neutralizing Antibody Titers against the Mu Variant of SARS-CoV-2 in 31 BNT162b2 Vaccinated Individuals in Colombia
This article has 13 authors:Reviewed by ScreenIT
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Rhinovirus-induced epithelial RIG-I inflammasome suppresses antiviral immunity and promotes inflammation in asthma and COVID-19
This article has 25 authors:Reviewed by ScreenIT