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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Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning
This article has 19 authors:Reviewed by ScreenIT
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Incidence of COVID-19 in a cohort of adult and paediatric patients with rheumatic diseases treated with targeted biologic and synthetic disease-modifying anti-rheumatic drugs
This article has 20 authors:Reviewed by ScreenIT
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Construction and validation of an ultraviolet germicidal irradiation system using locally available components
This article has 6 authors:Reviewed by ScreenIT
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Elevated d-Dimer Levels Are Associated With Increased Risk of Mortality in Coronavirus Disease 2019
This article has 9 authors:Reviewed by ScreenIT
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Leptin levels in SARS-CoV-2 infection related respiratory failure: A cross-sectional study and a pathophysiological framework on the role of fat tissue
This article has 8 authors:Reviewed by ScreenIT
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Monitoring social distancing and SARS-CoV-2 transmission in Brazil using cell phone mobility data
This article has 18 authors:Reviewed by ScreenIT
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Early Short-Course Corticosteroids in Hospitalized Patients With COVID-19
This article has 39 authors:Reviewed by ScreenIT
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Transmission dynamics of coronavirus disease 2019 outside of Daegu-Gyeongsangbuk provincial region in South Korea
This article has 5 authors:Reviewed by ScreenIT
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Modeling COVID-19 on a network: super-spreaders, testing and containment
This article has 3 authors:Reviewed by ScreenIT
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Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records
This article has 22 authors:Reviewed by ScreenIT