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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Commercial airline protocol during COVID-19 pandemic: An experience of Thai Airways International
This article has 4 authors:Reviewed by ScreenIT
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Towards intervention development to increase the uptake of COVID‐19 vaccination among those at high risk: Outlining evidence‐based and theoretically informed future intervention content
This article has 8 authors:Reviewed by ScreenIT
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A digital protein microarray for COVID-19 cytokine storm monitoring
This article has 13 authors:Reviewed by ScreenIT
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Risk and Severity of COVID-19 and ABO Blood Group in Transcatheter Aortic Valve Patients
This article has 18 authors:Reviewed by ScreenIT
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Understanding the Incidence of Covid-19 among the police force in Maharashtra through a mixed approach
This article has 3 authors:Reviewed by ScreenIT
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One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut
This article has 3 authors:Reviewed by ScreenIT
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The impact of the COVID-19 pandemic on cardiology services
This article has 10 authors:Reviewed by ScreenIT
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Assessment of early mitigation measures against COVID-19 in Puerto Rico: March 15-May 15, 2020
This article has 4 authors:Reviewed by ScreenIT
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Snapshot PCR surveillance for SARS-CoV-2 in hospital staff in England
This article has 23 authors:Reviewed by ScreenIT
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An International Review of Tobacco Use and the COVID-19 Pandemic: Examining Hospitalization, Asymptomatic Cases, and Severity
This article has 1 author:Reviewed by ScreenIT