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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Improved RT-PCR SARS-Cov2 results interpretation by indirect determination of cut-off cycle threshold value
This article has 1 author:Reviewed by ScreenIT
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Lower State COVID-19 Deaths and Cases with Earlier School Closure in the U.S.
This article has 1 author:Reviewed by ScreenIT
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A Global Survey on Changes in the Supply, Price, and Use of Illicit Drugs and Alcohol, and Related Complications During the 2020 COVID-19 Pandemic
This article has 13 authors:Reviewed by ScreenIT
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The impact of the SARS-CoV-2 pandemic on healthcare provision in Italy to non-COVID patients: a systematic review
This article has 9 authors:Reviewed by ScreenIT
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A novel viral protein translation mechanism reveals mitochondria as a target for antiviral drug development
This article has 17 authors:Reviewed by ScreenIT
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Preliminary evaluation of voluntary event cancellation as a countermeasure against the COVID-19 outbreak in Japan as of 11 March, 2020
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 in patients undergoing chronic kidney replacement therapy and kidney transplant recipients in Scotland: findings and experience from the Scottish renal registry
This article has 19 authors:Reviewed by ScreenIT
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Vulnerability and Burden of All-Cause Mortality Associated with Particulate Air Pollution during COVID-19 Pandemic: A Nationwide Observed Study in Italy
This article has 6 authors:Reviewed by ScreenIT
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Modest effects of contact reduction measures on the reproduction number of SARS-CoV-2 in the most affected European countries and the US
This article has 3 authors:Reviewed by ScreenIT
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Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England
This article has 31 authors:Reviewed by ScreenIT