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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Genetic sequencing detected the SARS-CoV-2 delta variant in wastewater a month prior to the first COVID-19 case in Ahmedabad (India)
This article has 8 authors:Reviewed by ScreenIT
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Therapeutic efficacy of CT-P59 against P.1 variant of SARS-CoV-2
This article has 22 authors:Reviewed by ScreenIT
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Impact of temperature on the affinity of SARS-CoV-2 Spike for ACE2
This article has 23 authors:Reviewed by ScreenIT
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Which children and young people are at higher risk of severe disease and death after hospitalisation with SARS-CoV-2 infection in children and young people: A systematic review and individual patient meta-analysis
This article has 16 authors:Reviewed by ScreenIT
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Anxiety and depression among medical doctors in Catalonia, Italy, and the UK during the COVID-19 pandemic
This article has 6 authors:Reviewed by ScreenIT
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Risk factors for SARS-CoV-2 seroprevalence following the first pandemic wave in UK healthcare workers in a large NHS Foundation Trust
This article has 24 authors:Reviewed by ScreenIT
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Incidence and Relative Risk of COVID-19 in Adolescents and Youth Compared With Older Adults in 19 US States, Fall 2020
This article has 4 authors:Reviewed by ScreenIT
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Modelling, Simulations and Analysis of the First and Second COVID-19 Epidemics in Beijing
This article has 1 author:Reviewed by ScreenIT
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Ultrastructural analysis of nasopharyngeal epithelial cells from patients with SARS-CoV-2 infection
This article has 8 authors:Reviewed by ScreenIT
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AI-driven quantification of ground glass opacities in lungs of COVID-19 patients using 3D computed tomography imaging
This article has 5 authors:Reviewed by ScreenIT