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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Hamster and ferret experimental infection with intranasal low dose of a single strain of SARS-CoV-2
This article has 14 authors:Reviewed by ScreenIT
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Site-Specific O-Glycosylation Analysis of SARS-CoV-2 Spike Protein Produced in Insect and Human Cells
This article has 12 authors:Reviewed by ScreenIT
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Monitoring global trends in Covid-19 vaccination intention and confidence: a social media-based deep learning study
This article has 8 authors:Reviewed by ScreenIT
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COMPARISON OF PERFORMANCE CHARACTERISTICS BETWEEN LATERAL FLOW, ELISAAND ELECTROCHEMILUMINESCENCE IMMUNOASSAYS FOR THE DETECTION OF SARS-COV-2 ANTIBODIES AMONG HEALTHCARE WORKERS
This article has 6 authors:Reviewed by ScreenIT
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The allometric propagation of COVID-19 is explained by human travel
This article has 3 authors:Reviewed by ScreenIT
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Broad cross-reactivity across sarbecoviruses exhibited by a subset of COVID-19 donor-derived neutralizing antibodies
This article has 14 authors:Reviewed by ScreenIT
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Anti-SARS-CoV-2 Serology persistence over time in COVID-19 Convalescent Plasma Donors
This article has 13 authors:Reviewed by ScreenIT
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The FDA-Approved Drug Cobicistat Synergizes with Remdesivir To Inhibit SARS-CoV-2 Replication In Vitro and Decreases Viral Titers and Disease Progression in Syrian Hamsters
This article has 29 authors:Reviewed by ScreenIT
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Acquisition of the L452R Mutation in the ACE2-Binding Interface of Spike Protein Triggers Recent Massive Expansion of SARS-CoV-2 Variants
This article has 17 authors:Reviewed by ScreenIT
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Socio-Demographics Correlate of COVID-19 Vaccine Hesitancy During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Web-Based Survey in Saudi Arabia
This article has 3 authors:Reviewed by ScreenIT