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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Paradox of Predictors in Critically ill COVID-19 Patients: Outcome of a COVID-dedicated Intensive Care Unit
This article has 6 authors:Reviewed by ScreenIT
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Recovery from Acute SARS-CoV-2 Infection and Development of Anamnestic Immune Responses in T Cell-Depleted Rhesus Macaques
This article has 24 authors:Reviewed by ScreenIT
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Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile
This article has 6 authors:Reviewed by ScreenIT
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Assessing the impact of SARS-CoV-2 prevention measures in Austrian schools using agent-based simulations and cluster tracing data
This article has 6 authors:Reviewed by ScreenIT
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Modeling Years of Life Lost Due to COVID-19, Socioeconomic Status, and Nonpharmaceutical Interventions: Development of a Prediction Model
This article has 1 author:Reviewed by ScreenIT
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Transmission dynamics of SARS-CoV-2 in the hospital setting
This article has 11 authors:Reviewed by ScreenIT
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Estimating the elevated transmissibility of the B.1.1.7 strain over previously circulating strains in England using GISAID sequence frequencies
This article has 4 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Covid-19 pandemic Analysis using Regression
This article has 2 authors:Reviewed by ScreenIT
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High Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Non-Covalent Inhibitor
This article has 30 authors:Reviewed by ScreenIT
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Coronavirus testing indicates transmission risk increases along wildlife supply chains for human consumption in Viet Nam, 2013-2014
This article has 29 authors:Reviewed by ScreenIT