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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Avoiding COVID-19: Aerosol Guidelines
This article has 1 author:Reviewed by ScreenIT
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Management of mild COVID-19: Policy implications of initial experience in India
This article has 19 authors:Reviewed by ScreenIT
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Comparison of renin–angiotensin–aldosterone system inhibitors with other antihypertensives in association with coronavirus disease-19 clinical outcomes
This article has 5 authors:Reviewed by ScreenIT
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Hydroxychloroquine and tocilizumab therapy in COVID-19 patients—An observational study
This article has 32 authors:Reviewed by ScreenIT
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The Impact of COVID-19 Management Policies Tailored to Airborne SARS-CoV-2 Transmission: Policy Analysis
This article has 8 authors:Reviewed by ScreenIT
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COVIEdb: A database for potential immune epitopes of coronaviruses
This article has 6 authors:Reviewed by ScreenIT
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Clinical and molecular characterization of COVID-19 hospitalized patients
This article has 23 authors:Reviewed by ScreenIT
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Geographical surveillance of COVID-19: Diagnosed cases and death in the United States
This article has 5 authors:Reviewed by ScreenIT
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SARS-CoV-2 infection in London, England: Impact of lockdown on community point-prevalence, March-May 2020
This article has 6 authors:Reviewed by ScreenIT
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Performance and impact of disposable and reusable respirators for healthcare workers during pandemic respiratory disease: a rapid evidence review
This article has 8 authors:Reviewed by ScreenIT