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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Reliability of serological tests for COVID-19: comparison of three immunochromatography test kits for SARS-CoV-2 antibodies
This article has 11 authors:Reviewed by ScreenIT
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A Robust, Safe, and Scalable Magnetic Nanoparticle Workflow for RNA Extraction of Pathogens from Clinical and Wastewater Samples
This article has 16 authors:Reviewed by ScreenIT
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The Influence of Time-Limited Immunity on a COVID-19 Epidemic: A Simulation Study
This article has 1 author:Reviewed by ScreenIT
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A new estimation method for COVID-19 time-varying reproduction number using active cases
This article has 7 authors:Reviewed by ScreenIT
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Protocol for the development and evaluation of a tool for predicting risk of short-term adverse outcomes due to COVID-19 in the general UK population
This article has 24 authors:Reviewed by ScreenIT
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SARS-CoV-2 & Pediatric Mental Health: A Review of Recent Evidence
This article has 6 authors:Reviewed by ScreenIT
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Evaluation of an Electrochemiluminescent SARS-CoV-2 Antibody Assay
This article has 9 authors:Reviewed by ScreenIT
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Comparison of the clinical characteristics and outcomes of hospitalized adult COVID-19 and influenza patients – a prospective observational study
This article has 11 authors:Reviewed by ScreenIT
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Impact of the novel coronavirus disease on treatment adherence and sleep duration in patients with obstructive sleep apnea treated with positive airway pressure
This article has 3 authors:Reviewed by ScreenIT
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Superspreading as a Regular Factor of the COVID-19 Pandemic: I. A Two-Component Model
This article has 1 author:Reviewed by ScreenIT