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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Willingness of medical students to volunteer during the Covid-19 pandemic: Assessment at a tertiary care hospital in India
This article has 6 authors:Reviewed by ScreenIT
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Epidemiological and Genomic analysis of a Sydney Hospital COVID-19 Outbreak
This article has 16 authors:Reviewed by ScreenIT
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Awake prone positioning and oxygen therapy in patients with COVID-19: the APRONOX study
This article has 20 authors:Reviewed by ScreenIT
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Mortality rates from COVID-19 in Spain and Italy, Lessons for the UK!
This article has 5 authors:Reviewed by ScreenIT
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Performance Characteristics of a Rapid Severe Acute Respiratory Syndrome Coronavirus 2 Antigen Detection Assay at a Public Plaza Testing Site in San Francisco
This article has 24 authors:Reviewed by ScreenIT
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A distinct innate immune signature marks progression from mild to severe COVID-19
This article has 16 authors:Reviewed by ScreenIT
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Efficacy of Ivermectin in COVID-19 Patients with Mild to Moderate Disease
This article has 10 authors:Reviewed by ScreenIT
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Post-covid syndrome in individuals admitted to hospital with covid-19: retrospective cohort study
This article has 7 authors: -
Viral load of SARS-CoV-2 across patients and compared to other respiratory viruses
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 and heart medications: What’s the connection?
This article has 11 authors:Reviewed by ScreenIT