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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Maximizing and evaluating the impact of test-trace-isolate programs: A modeling study
This article has 7 authors:Reviewed by ScreenIT
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Impact of COVID-19 Pandemic Led Lockdown on the Lifestyle of Adolescents and Young Adults
This article has 2 authors:Reviewed by ScreenIT
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Dysregulated transcriptional responses to SARS-CoV-2 in the periphery
This article has 20 authors:Reviewed by ScreenIT
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The Impact of the November 2020 English National Lockdown on COVID-19 case counts
This article has 3 authors:Reviewed by ScreenIT
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SARS-Coronavirus-2 nucleocapsid protein measured in blood using a Simoa ultra-sensitive immunoassay differentiates COVID-19 infection with high clinical sensitivity
This article has 23 authors:Reviewed by ScreenIT
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Multivalency transforms SARS-CoV-2 antibodies into ultrapotent neutralizers
This article has 26 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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High throughput diagnostics and dynamic risk assessment of SARS-CoV-2 variants of concern
This article has 6 authors:Reviewed by ScreenIT
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Genomic epidemiology of COVID-19 in care homes in the east of England
This article has 38 authors:Reviewed by ScreenIT
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40 minutes RT-qPCR Assay for Screening Spike N501Y and HV69-70del Mutations
This article has 7 authors:Reviewed by ScreenIT