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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Prognostic factors for adverse outcomes in patients with COVID-19: a field-wide systematic review and meta-analysis
This article has 6 authors:Reviewed by ScreenIT
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COVID-19 Management in a UK NHS Foundation Trust with a High Consequence Infectious Diseases Centre: A Retrospective Analysis
This article has 27 authors:Reviewed by ScreenIT
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Evaluation of Contact-Tracing Policies against the Spread of SARS-CoV-2 in Austria: An Agent-Based Simulation
This article has 6 authors:Reviewed by ScreenIT
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Silent disease and loss of taste and smell are common manifestations of SARS-COV-2 infection in a quarantine facility: Saudi Arabia
This article has 6 authors:Reviewed by ScreenIT
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Quantitative SARS-CoV-2 Antibody Screening of Healthcare Workers in the Southern Part of Kyoto City During the COVID-19 Pre-pandemic Period
This article has 8 authors:Reviewed by ScreenIT
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Forecasting the COVID-19 Pandemic with Climate Variables for Top Five Burdening and Three South Asian Countries
This article has 4 authors:Reviewed by ScreenIT
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Clinical characteristics and early outcomes in patients with COVID-19 treated with tocilizumab at a United States academic center
This article has 15 authors:Reviewed by ScreenIT
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Monitoring and predicting SARS-CoV-2 epidemic in France after deconfinement using a multiscale age-stratified rate model
This article has 3 authors:Reviewed by ScreenIT
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VENTILATORY SUPPORT IN SARS-VOC-2 DURING INTENSIVE THERAPY
This article has 5 authors:Reviewed by ScreenIT
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Comparison of SARS-CoV-2 detection in nasopharyngeal swab and saliva
This article has 15 authors:Reviewed by ScreenIT