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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Clinical characteristics of chilean patients with rheumatic diseases and COVID-19: data from the COVID-19 Global Rheumatology Alliance physician-reported registry
This article has 3 authors:Reviewed by ScreenIT
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Identifying protein sites contributing to vaccine escape via statistical comparisons of short-term molecular dynamics simulations
This article has 3 authors:Reviewed by ScreenIT
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Orally administered epeleuton inhibits SARS-CoV-2 viral load, replication and pathology in the Syrian Hamster model
This article has 10 authors:Reviewed by ScreenIT
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Superspreading of SARS-CoV-2 infections: A Systematic Review and Meta-analysis
This article has 10 authors:Reviewed by ScreenIT
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Modeling COVID-19 Aerosol Transmission in Primary Schools
This article has 4 authors:Reviewed by ScreenIT
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Access to healthcare as an important moderating variable for understanding geography of immunity levels for COVID-19 - preliminary insights from Poland
This article has 2 authors:Reviewed by ScreenIT
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Single cell gene expression profiling of nasal ciliated cells reveals distinctive biological processes related to epigenetic mechanisms in patients with severe COVID-19
This article has 4 authors:Reviewed by ScreenIT
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Vaccinating children against COVID-19 is crucial to protect schools and communities
This article has 9 authors:Reviewed by ScreenIT
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COVID-19 cluster size and transmission rates in schools from crowdsourced case reports
This article has 4 authors:This article has been curated by 1 group: -
The T-cell clonal response to SARS-CoV-2 vaccination in inflammatory bowel disease patients is augmented by anti-TNF therapy and often deficient in antibody-responders
This article has 24 authors:Reviewed by ScreenIT