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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Sarilumab treatment of hospitalised patients with severe or critical COVID-19: a multinational, randomised, adaptive, phase 3, double-blind, placebo-controlled trial
This article has 8 authors:Reviewed by ScreenIT
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Extended in vitro inactivation of SARS-CoV-2 by titanium dioxide surface coating
This article has 6 authors:Reviewed by ScreenIT
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Self-testing for the detection of SARS-CoV-2 infection with rapid antigen tests for people with suspected COVID-19 in the community
This article has 15 authors:Reviewed by ScreenIT
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Exploring the Natural Origins of SARS-CoV-2 in the Light of Recombination
This article has 10 authors:Reviewed by ScreenIT
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Balancing Quarantine and Self-Distancing Measures in Adaptive Epidemic Networks
This article has 3 authors:Reviewed by ScreenIT
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Estimating the transmission advantage of the D614G mutant strain of SARS-CoV-2, December 2019 to June 2020
This article has 5 authors:Reviewed by ScreenIT
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Compound Risks of Hurricane Evacuation Amid the COVID‐19 Pandemic in the United States
This article has 5 authors:Reviewed by ScreenIT
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Next weeks of SARS-CoV-2: Projection model to predict time evolution scenarios of accumulated cases in Spain
This article has 2 authors:Reviewed by ScreenIT
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Repurposing Colchicine for the Management of COVID-19: A Systematic Review and Meta-analysis
This article has 4 authors:Reviewed by ScreenIT
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Structural basis of ribosomal frameshifting during translation of the SARS-CoV-2 RNA genome
This article has 14 authors:Reviewed by ScreenIT