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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Providing a Safe, In-Person, Residential College Experience During the COVID-19 Pandemic
This article has 13 authors:Reviewed by ScreenIT
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Genetic variability associated with OAS1 expression in myeloid cells increases the risk of Alzheimer’s disease and severe COVID-19 outcomes
This article has 20 authors:Reviewed by ScreenIT
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Assessing the extent and timing of chemosensory impairments during COVID-19 pandemic
This article has 18 authors:Reviewed by ScreenIT
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Factors preventing SARS-CoV-2 transmission during unintentional exposure in a GP practice: a cohort study of patient contacts; Germany, 2020
This article has 5 authors:Reviewed by ScreenIT
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The role of childrens’ vaccination for COVID-19—Pareto-optimal allocations of vaccines
This article has 2 authors:Reviewed by ScreenIT
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Relative expression of proinflammatory molecules in COVID‐19 patients who manifested disease severities
This article has 9 authors:Reviewed by ScreenIT
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Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave
This article has 17 authors:Reviewed by ScreenIT
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Vaccination and herd immunity thresholds in heterogeneous populations
This article has 2 authors:Reviewed by ScreenIT
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Exploring epitope and functional diversity of anti-SARS-CoV2 antibodies using AI-based methods
This article has 8 authors:Reviewed by ScreenIT
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Access to and safety of COVID-19 convalescent plasma in the United States Expanded Access Program: A national registry study
This article has 58 authors:Reviewed by ScreenIT