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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Effectiveness of Covishield vaccine in preventing Covid-19 – A test-negative case-control study
This article has 10 authors:Reviewed by ScreenIT
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BNT162b2 vaccine induces divergent B cell responses to SARS-CoV-2 S1 and S2
This article has 6 authors:Reviewed by ScreenIT
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An untargeted metabolomic approach to identify antiviral defense mechanisms in memory leukocytes secreting in vitro IgG anti-SARS-Cov-2
This article has 8 authors:Reviewed by ScreenIT
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Saliva molecular testing for SARS-CoV-2: simplifying the diagnosis without losing accuracy
This article has 12 authors:Reviewed by ScreenIT
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CRISPR screens for host factors critical for infection by SARS-CoV-2 variants of concern identify GATA6 as a central modulator of ACE2
This article has 18 authors:Reviewed by ScreenIT
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Cornering an Ever-Evolving Coronavirus: TATX-03, a fully human synergistic multi-antibody cocktail targeting the SARS-CoV-2 Spike Protein with in vivo efficacy
This article has 22 authors:Reviewed by ScreenIT
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A Highly Potent SARS-CoV-2 Blocking Lectin Protein
This article has 14 authors:Reviewed by ScreenIT
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Sensitivity Analysis of Excess Mortality due to the COVID‐19 Pandemic
This article has 5 authors:Reviewed by ScreenIT
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Distinct shifts in site-specific glycosylation pattern of SARS-CoV-2 spike proteins associated with arising mutations in the D614G and Alpha variants
This article has 6 authors:Reviewed by ScreenIT
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Access to COVID-19 Vaccines in High-, Middle-, and Low-Income Countries Hosting Clinical Trials
This article has 3 authors:Reviewed by ScreenIT