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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Stopping the misinformation: BNT162b2 COVID-19 vaccine has no negative effect on women’s fertility
This article has 6 authors:Reviewed by ScreenIT
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Aerosol SARS-CoV-2 in hospitals and long-term care homes during the COVID-19 pandemic
This article has 11 authors:Reviewed by ScreenIT
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Common cardiac medications potently inhibit ACE2 binding to the SARS-CoV-2 Spike, and block virus penetration and infectivity in human lung cells
This article has 9 authors:Reviewed by ScreenIT
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Signatures of mast cell activation are associated with severe COVID-19
This article has 19 authors:Reviewed by ScreenIT
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Effects of the COVID-19 pandemic on publication landscape in chimeric antigen receptor-modified immune cell research
This article has 2 authors:Reviewed by ScreenIT
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SARS-CoV-2 cell-to-cell spread occurs rapidly and is insensitive to antibody neutralization
This article has 16 authors:Reviewed by ScreenIT
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Virucidal activity of a proprietary blend of plant-based oils (Viruxal) against SARS-CoV-2 and influenza viruses – an in vitro study
This article has 2 authors:Reviewed by ScreenIT
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Post-COVID-19 assessment in a specialist clinical service: a 12-month, single-centre, prospective study in 1325 individuals
This article has 27 authors:Reviewed by ScreenIT
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Effect of 2021 assembly election in India on COVID-19 transmission
This article has 4 authors:Reviewed by ScreenIT
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The real COVID-19 pandemic dynamics in Qatar in 2021: simulations, predictions and verifications of the SIR model
This article has 1 author:Reviewed by ScreenIT