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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Are Our COVID Warriors Cared-for Enough? A Nationwide Survey on Stress Among Doctors During the COVID-19 Pandemic
This article has 10 authors:Reviewed by ScreenIT
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Prior diagnoses and medications as risk factors for COVID-19 in a Los Angeles Health System
This article has 13 authors:Reviewed by ScreenIT
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Kinetics and performance of the Abbott architect SARS-CoV-2 IgG antibody assay
This article has 12 authors:Reviewed by ScreenIT
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Association of SARS-CoV-2 Genomic Load with Outcomes in Patients with COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Efficacy of corticosteroids in non-intensive care unit patients with COVID-19 pneumonia from the New York Metropolitan region
This article has 11 authors:Reviewed by ScreenIT
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Potential role of cellular miRNAs in coronavirus-host interplay
This article has 6 authors: -
Cryo-EM Structures Delineate a pH-Dependent Switch that Mediates Endosomal Positioning of SARS-CoV-2 Spike Receptor-Binding Domains
This article has 26 authors:Reviewed by ScreenIT
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Timing of PCR and antibody testing in patients with COVID-19–associated dermatologic manifestations
This article has 7 authors:Reviewed by ScreenIT
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“No Official Help Is Available”—Experience of Parents and Children With Congenital Heart Disease During COVID-19
This article has 6 authors:Reviewed by ScreenIT
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Sub-epidemic model forecasts for COVID-19 pandemic spread in the USA and European hotspots, February-May 2020
This article has 6 authors:Reviewed by ScreenIT