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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Quantitative comparison of SARS-CoV-2 nucleic acid amplification test and antigen testing algorithms: a decision analysis simulation model
This article has 7 authors:Reviewed by ScreenIT
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Reduced binding and neutralization of infection- and vaccine-induced antibodies to the B.1.351 (South African) SARS-CoV-2 variant
This article has 34 authors:Reviewed by ScreenIT
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Spike Protein Antibodies Mediate the Apparent Correlation between SARS-CoV-2 Nucleocapsid Antibodies and Neutralization Test Results
This article has 13 authors:Reviewed by ScreenIT
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SARS-CoV-2 pandemic dynamics and infection tracing in Denmark
This article has 4 authors:Reviewed by ScreenIT
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Neighbourhood characteristics associated with the geographic variation in laboratory confirmed COVID-19 in Ontario, Canada: a multilevel analysis
This article has 5 authors:Reviewed by ScreenIT
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Strategies for COVID-19 vaccination under a shortage scenario: a geo-stochastic modelling approach
This article has 6 authors:Reviewed by ScreenIT
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The causal effects of chronic air pollution on the intensity of COVID-19 disease: Some answers are blowing in the wind
This article has 5 authors:Reviewed by ScreenIT
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Structural basis for accommodation of emerging B.1.351 and B.1.1.7 variants by two potent SARS-CoV-2 neutralizing antibodies
This article has 14 authors:Reviewed by ScreenIT
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SARS-CoV-2 variants of concern are associated with lower RT-PCR amplification cycles between January and March 2021 in France
This article has 9 authors:Reviewed by ScreenIT
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A genome-wide CRISPR screen identifies host factors that regulate SARS-CoV-2 entry
This article has 20 authors:Reviewed by ScreenIT