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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COVID-19 and Multisystem Inflammatory Syndrome in Latin American Children
This article has 26 authors:Reviewed by ScreenIT
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The characteristics of HIV-positive patients with mild/asymptomatic and moderate/severe course of COVID-19 disease—A report from Central and Eastern Europe
This article has 13 authors:Reviewed by ScreenIT
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Report on COVID-19 Verification Case Study in Nine Countries Using the SIQR model
This article has 1 author:Reviewed by ScreenIT
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Perceptions of Risk of Attending Hospital during the COVID-19 Pandemic: a UK public opinion survey
This article has 5 authors:Reviewed by ScreenIT
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Clinical stage molecule PT150 is a modulator of glucocorticoid and androgen receptors with antiviral activity against SARS-CoV-2.
This article has 11 authors:Reviewed by ScreenIT
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Challenges and proposed solutions in making clinical research on COVID-19 ethical: a status quo analysis across German research ethics committees
This article has 6 authors:Reviewed by ScreenIT
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Simple model for Covid-19 epidemics – back-casting in China and forecasting in the US
This article has 1 author:Reviewed by ScreenIT
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Healthcare-resource-adjusted vulnerabilities towards the 2019-nCoV epidemic across China
This article has 7 authors:Reviewed by ScreenIT
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Magnitude, demographics and dynamics of the effect of the first wave of the COVID-19 pandemic on all-cause mortality in 21 industrialized countries
This article has 14 authors:Reviewed by ScreenIT
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Estimating the Growth Rate and Doubling Time for Short-Term Prediction and Monitoring Trend During the COVID-19 Pandemic with a SAS Macro
This article has 4 authors:Reviewed by ScreenIT