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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Serological screening suggests single SARS-CoV-2 spillover events to cattle
This article has 7 authors:Reviewed by ScreenIT
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SARS-CoV-2 impairs interferon production via NSP2-induced repression of mRNA translation
This article has 27 authors:Reviewed by ScreenIT
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T Cell Response following Anti-COVID-19 BNT162b2 Vaccination Is Maintained against the SARS-CoV-2 Omicron B.1.1.529 Variant of Concern
This article has 7 authors:Reviewed by ScreenIT
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Detection and upsurge of SARS-CoV-2 Omicron variant in Islamabad Pakistan
This article has 13 authors:Reviewed by ScreenIT
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Loss of Y in leukocytes as a risk factor for critical COVID-19 in men
This article has 24 authors:Reviewed by ScreenIT
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Retention of Neutralizing Response against SARS-CoV-2 Omicron Variant in Sputnik V-Vaccinated Individuals
This article has 22 authors:Reviewed by ScreenIT
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Efficacy of SARS-CoV-2 vaccination in patients with monoclonal gammopathies: A cross sectional study
This article has 24 authors:Reviewed by ScreenIT
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A potent alpaca-derived nanobody that neutralizes SARS-CoV-2 variants
This article has 6 authors:Reviewed by ScreenIT
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Molecular basis of broad neutralization against SARS-CoV-2 variants including Omicron by a human antibody
This article has 19 authors:Reviewed by ScreenIT
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Long-Term Persistence of IgG Antibodies in recovered COVID-19 individuals at 18 months and the impact of two-dose BNT162b2 (Pfizer-BioNTech) mRNA vaccination on the antibody response
This article has 5 authors:Reviewed by ScreenIT