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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3D-Printed Snorkel Mask Adapter for Failed N95 Fit Tests and Personal Protective Equipment Shortages
This article has 5 authors:Reviewed by ScreenIT
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Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study
This article has 6 authors:Reviewed by ScreenIT
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The potential impact of intensified community hand hygiene interventions on respiratory tract infections: a modelling study
This article has 3 authors:Reviewed by ScreenIT
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Real-world clinical performance of commercial SARS-CoV-2 rapid antigen tests in suspected COVID-19: A systematic meta-analysis of available data as of November 20, 2020
This article has 3 authors:Reviewed by ScreenIT
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An Agent-Based Model to assess COVID-19 spread and health systems burden in Telangana state, India
This article has 9 authors:Reviewed by ScreenIT
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Factors indicating intention to vaccinate with a COVID-19 vaccine among older U.S. adults
This article has 16 authors:Reviewed by ScreenIT
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What does the COVID-19 pandemic mean for the next decade of onchocerciasis control and elimination?
This article has 10 authors:Reviewed by ScreenIT
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Stringent thresholds in SARS-CoV-2 IgG assays lead to under-detection of mild infections
This article has 19 authors:Reviewed by ScreenIT
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The Impact of US County-Level Factors on COVID-19 Morbidity and Mortality
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 misinformation: Mere harmless delusions or much more? A knowledge and attitude cross-sectional study among the general public residing in Jordan
This article has 9 authors:Reviewed by ScreenIT