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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Seroprevalence of SARS-CoV-2 Antibodies among Vaccinated and Non-Vaccinated Adults in the West Bank: Results of a Repeated Cross-Sectional Study
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 Evolution and Patient Immunological History Shape the Breadth and Potency of Antibody-Mediated Immunity
This article has 13 authors:Reviewed by ScreenIT
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GDF15 and ACE2 stratify COVID19 patients according to severity while ACE2 mutations increase infection susceptibility
This article has 13 authors:Reviewed by ScreenIT
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Reaction Conditions Promoting the Specific Detection of SARS-CoV-2 NendoU Enzymatic Activity
This article has 2 authors:Reviewed by ScreenIT
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Modelling the within-host spread of SARS-CoV-2 infection, and the subsequent immune response, using a hybrid, multiscale, individual-based model. Part I: Macrophages
This article has 7 authors:Reviewed by ScreenIT
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Immunological findings in a group of individuals who were non-responders to standard two-dose SARS-CoV-2 vaccines
This article has 7 authors:Reviewed by ScreenIT
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Allelic gene polymorphisms suspected to diversify the individual early metabolic response upon influenza H3N2 and SARS-CoV-2 infections
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 Neutralizing Antibodies in Chile after a Vaccination Campaign with Five Different Schemes
This article has 16 authors:Reviewed by ScreenIT
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The spread and burden of the COVID-19 pandemic in sub-Saharan Africa: comparison between predictions and actual data and lessons learned
This article has 5 authors:Reviewed by ScreenIT
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Net-Shaped DNA Nanostructures Designed for Rapid/Sensitive Detection and Potential Inhibition of the SARS-CoV-2 Virus
This article has 12 authors:Reviewed by ScreenIT