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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Reliable estimation of SARS-CoV-2 anti-spike protein IgG titers from single dilution optical density values in serologic surveys
This article has 11 authors:Reviewed by ScreenIT
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A model of persistent post SARS-CoV-2 induced lung disease for target identification and testing of therapeutic strategies
This article has 45 authors:Reviewed by ScreenIT
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A global lipid map reveals host dependency factors conserved across SARS-CoV-2 variants
This article has 10 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Vaccination of solid organ transplant recipients previously infected with SARS-CoV2 induces potent responses that extend to variants, including Omicron
This article has 13 authors:Reviewed by ScreenIT
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The BNT162b2 mRNA SARS-CoV-2 vaccine induces transient afucosylated IgG1 in naive but not in antigen-experienced vaccinees
This article has 69 authors:Reviewed by ScreenIT
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Virological characteristics of the SARS-CoV-2 Omicron BA.2 spike
This article has 50 authors:Reviewed by ScreenIT
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A novel consensus‐based computational pipeline for screening of antibody therapeutics for efficacy against SARS‐CoV‐2 variants of concern including Omicron variant
This article has 7 authors:Reviewed by ScreenIT
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Omicron-specific and bivalent omicron-containing vaccine candidates elicit potent virus neutralisation in the animal model
This article has 5 authors:Reviewed by ScreenIT
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Brain cortical changes are related to inflammatory biomarkers in hospitalized SARS-CoV-2 patients with neurological symptoms
This article has 7 authors:Reviewed by ScreenIT
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A randomized clinical trial of a booster dose with low versus standard dose of AZD1222 in adult after 2 doses of inactivated vaccines
This article has 12 authors:Reviewed by ScreenIT