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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Evaluation of the test accuracy of a SARS-CoV-2 rapid antigen test in symptomatic community dwelling individuals in the Netherlands
This article has 11 authors:Reviewed by ScreenIT
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An Analysis of Outbreak Dynamics and Intervention Effects for COVID-19 Transmission in Europe
This article has 1 author:Reviewed by ScreenIT
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Window of Opportunity for Mitigation to Prevent Overflow of ICU capacity in Chicago by COVID-19
This article has 2 authors:Reviewed by ScreenIT
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Accuracy of Healthcare Professionals’ Nasopharyngeal Swab Technique in SARS-CoV-2 Specimen Collection
This article has 6 authors:Reviewed by ScreenIT
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University students and staff able to maintain low daily contact numbers during various COVID-19 guideline periods
This article has 15 authors:Reviewed by ScreenIT
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Trends in Covid-19 risk-adjusted mortality rates in a single health system
This article has 7 authors:Reviewed by ScreenIT
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Binding Ligands that Straddle an Important Contact Site on the RBD of the Covid-19 Spike Protein
This article has 1 author:Reviewed by ScreenIT
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Fragment binding to the Nsp3 macrodomain of SARS-CoV-2 identified through crystallographic screening and computational docking
This article has 54 authors:Reviewed by ScreenIT
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Tetherin antagonism by SARS-CoV-2 enhances virus release: multiple mechanisms including ORF3a-mediated defective retrograde traffic
This article has 15 authors:Reviewed by Review Commons, Rapid Reviews Infectious Diseases, ScreenIT
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Worldwide tracing of mutations and the evolutionary dynamics of SARS-CoV-2
This article has 13 authors:Reviewed by ScreenIT