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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Pre-diagnostic circulating concentrations of insulin-like growth factor-1 and risk of COVID-19 mortality: results from UK Biobank
This article has 10 authors:Reviewed by ScreenIT
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Lockdown measures in response to COVID-19 in nine sub-Saharan African countries
This article has 23 authors:Reviewed by ScreenIT
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Characteristics and transmission dynamics of COVID-19 in healthcare workers at a London teaching hospital
This article has 7 authors:Reviewed by ScreenIT
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COVID-19 causing HELLP-like syndrome in pregnancy and role of angiogenic factors for differential diagnosis
This article has 6 authors:Reviewed by ScreenIT
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SARS-CoV-2 RNA Extraction Using Magnetic Beads for Rapid Large-Scale Testing by RT-qPCR and RT-LAMP
This article has 26 authors:Reviewed by ScreenIT
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Clinical and epidemiological characteristics of children with SARS-CoV-2 infection: a case series in Sinaloa
This article has 6 authors:Reviewed by ScreenIT
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In vivo demonstration of microvascular thrombosis in severe COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Antibody dynamics to SARS‐CoV‐2 in asymptomatic COVID‐19 infections
This article has 25 authors:Reviewed by ScreenIT
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In-house modification and improvement of the CDC real-time PCR diagnostic assay for SARS-CoV-2 detection
This article has 5 authors:Reviewed by ScreenIT