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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Factors associated with COVID‐19 related hospitalisation, critical care admission and mortality using linked primary and secondary care data
This article has 6 authors:Reviewed by ScreenIT
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Association between benzodiazepine receptor agonist use and mortality in patients hospitalised for COVID-19: a multicentre observational study
This article has 16 authors:Reviewed by ScreenIT
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Risk Factors for ICU Admission, Mechanical Ventilation and Mortality in Hospitalized Patients with COVID-19 in Hubei, China
This article has 12 authors:Reviewed by ScreenIT
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The Signature Features of COVID‐19 Pandemic in a Hybrid Mathematical Model—Implications for Optimal Work–School Lockdown Policy
This article has 2 authors:Reviewed by ScreenIT
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Using WeChat, a Chinese Social Media App, for Early Detection of the COVID-19 Outbreak in December 2019: Retrospective Study
This article has 6 authors:Reviewed by ScreenIT
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On the temporal spreading of the SARS-CoV-2
This article has 3 authors:Reviewed by ScreenIT
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Levels of SARS-CoV-2 population exposure are considerably higher than suggested by seroprevalence surveys
This article has 4 authors:Reviewed by ScreenIT
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In-host Modelling of COVID-19 in Humans
This article has 2 authors:Reviewed by ScreenIT
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Early Transmission Dynamics, Spread, and Genomic Characterization of SARS-CoV-2 in Panama
This article has 28 authors:Reviewed by ScreenIT
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Self-harm presentations to Emergency Departments and Place of Safety during the ‘first wave’ of the UK COVID-19 pandemic: South London and Maudsley data on service use from February to June 2020
This article has 9 authors:Reviewed by ScreenIT