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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High-Throughput Next-Generation Sequencing Respiratory Viral Panel: A Diagnostic and Epidemiologic Tool for SARS-CoV-2 and Other Viruses
This article has 14 authors:Reviewed by ScreenIT
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SARS-CoV-2 introduction and lineage dynamics across three epidemic peaks in Southern Brazil: massive spread of P.1
This article has 9 authors:Reviewed by ScreenIT
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Transmission of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) from pre and asymptomatic infected individuals: a systematic review
This article has 9 authors:Reviewed by ScreenIT
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An oral SARS-CoV-2 M pro inhibitor clinical candidate for the treatment of COVID-19
This article has 43 authors:Reviewed by ScreenIT
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COVID‐Q: Validation of the first COVID‐19 questionnaire based on patient‐rated symptom gravity
This article has 10 authors:Reviewed by ScreenIT
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Daily testing for contacts of individuals with SARS-CoV-2 infection and attendance and SARS-CoV-2 transmission in English secondary schools and colleges: an open-label, cluster-randomised trial
This article has 31 authors:Reviewed by ScreenIT
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Serological responses and vaccine effectiveness for extended COVID-19 vaccine schedules in England
This article has 18 authors:Reviewed by ScreenIT
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Purifying Selection Determines the Short-Term Time Dependency of Evolutionary Rates in SARS-CoV-2 and pH1N1 Influenza
This article has 7 authors:Reviewed by ScreenIT
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Diagnostic performance of a novel digital immunoassay (RapidTesta SARS-CoV-2): A prospective observational study with nasopharyngeal samples
This article has 11 authors:Reviewed by ScreenIT
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Rapid comparative evaluation of SARS-CoV-2 rapid point-of-care antigen tests
This article has 6 authors:Reviewed by ScreenIT