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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Electronic Health Record Documentation of Psychiatric Assessments in Massachusetts Emergency Department and Outpatient Settings During the Coronavirus Disease 2019 (COVID-19) Pandemic
This article has 2 authors:Reviewed by ScreenIT
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Impacts of the COVID-19 Pandemic on Cardiac Rehabilitation Delivery around the World
This article has 12 authors:Reviewed by ScreenIT
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Estimating and explaining the spread of COVID-19 at the county level in the USA
This article has 2 authors:Reviewed by ScreenIT
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SARS-CoV-2 in Brazil: analysis of molecular variance and genetic diversity in viral haplotypes found in the states of Rio de Janeiro, São Paulo, Paraná and Tocantins
This article has 5 authors:Reviewed by ScreenIT
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The Novel Coronavirus Disease (COVID-19): A PRISMA Systematic Review and Meta-analysis of Clinical and Paraclinical characteristics
This article has 5 authors:Reviewed by ScreenIT
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Outpatient Screening of Health Status Among Postbariatric Patients during the COVID‐19 Pandemic in Sao Paulo, Brazil
This article has 15 authors:Reviewed by ScreenIT
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Modelling the first wave of the COVID-19 epidemic in the Czech Republic and the role of government interventions
This article has 7 authors:Reviewed by ScreenIT
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An efficient distributed algorithm with application to COVID-19 data from heterogeneous clinical sites
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 virus and antibodies in front-line Health Care Workers in an acute hospital in London: preliminary results from a longitudinal study
This article has 32 authors:Reviewed by ScreenIT
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Toward a COVID-19 testing policy: where and how to test when the purpose is to isolate silent spreaders
This article has 10 authors:Reviewed by ScreenIT