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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A cysteine protease inhibitor blocks SARS-CoV-2 infection of human and monkey cells
This article has 29 authors:Reviewed by ScreenIT
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The distributional impact of COVID-19: Geographic variation in mortality in England
This article has 2 authors:Reviewed by ScreenIT
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Obtaining Prevalence Estimates of Coronavirus Disease 2019: A Model to Inform Decision-Making
This article has 2 authors:Reviewed by ScreenIT
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Covid-19 Outbreak Progression in Italian Regions: Approaching the Peak by the End of March in Northern Italy and First Week of April in Southern Italy
This article has 3 authors:Reviewed by ScreenIT
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A disproportionate epidemic: COVID-19 cases and deaths among essential workers in Toronto, Canada
This article has 9 authors:Reviewed by ScreenIT
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Identification, Isolation, Propagation and Inactivation of SARS-CoV2 Isolated from Egypt
This article has 5 authors:Reviewed by ScreenIT
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Exponential distribution of large excess death rates in Europe during the COVID-19 outbreak in the spring of 2020
This article has 1 author:Reviewed by ScreenIT
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An open-label prospective observational study of antiandrogen and non-antiandrogen early pharmacological approaches in females with mild-to-moderate COVID-19. The Pre-AndroCoV Female Trial
This article has 4 authors:Reviewed by ScreenIT
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Optimal lockdown strategies for SARS-CoV2 mitigation— an Indian perspective
This article has 3 authors:Reviewed by ScreenIT
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Inhibitor Binding Modulates Protonation States in the Active Site of SARS-CoV-2 Main Protease
This article has 6 authors:Reviewed by ScreenIT