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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Standardized preservation, extraction and quantification techniques for detection of fecal SARS-CoV-2 RNA
This article has 11 authors:Reviewed by ScreenIT
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Kinetics of SARS-CoV-2 anti-S IgG after BNT162b2 vaccination
This article has 13 authors:Reviewed by ScreenIT
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Performance and Operational Evaluation of the Access Bio CareStart Rapid Antigen Test in a High-Throughput Drive-Through Community Testing Site in Massachusetts
This article has 18 authors:Reviewed by ScreenIT
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Rapid Base-Specific Calling of SARS-CoV-2 Variants of Concern Using Combined RT-PCR Melting Curve Screening and SIRPH Technology
This article has 11 authors:Reviewed by ScreenIT
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A phase 2 multiple ascending dose study of the inhaled pan-JAK inhibitor nezulcitinib (TD-0903) in severe COVID-19
This article has 16 authors:Reviewed by ScreenIT
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Children develop robust and sustained cross-reactive spike-specific immune responses to SARS-CoV-2 infection
This article has 44 authors:Reviewed by ScreenIT
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Clinical performance evaluation of SARS-CoV-2 rapid antigen testing in point of care usage in comparison to RT-qPCR
This article has 20 authors:Reviewed by ScreenIT
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Modelling conformational state dynamics and its role on infection for SARS-CoV-2 Spike protein variants
This article has 3 authors:Reviewed by ScreenIT
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Why did the children stop coming? Reasons for paediatric emergency department attendance decrease during the first wave of the COVID-19 pandemic in the United Kingdom: A qualitative study
This article has 6 authors:Reviewed by ScreenIT
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Landscape analysis of escape variants identifies SARS-CoV-2 spike mutations that attenuate monoclonal and serum antibody neutralization
This article has 16 authors:Reviewed by ScreenIT