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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COVID-19 Test Positivity Rate as a marker for hospital overload
This article has 1 author:Reviewed by ScreenIT
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Estimate of COVID-19 case prevalence in India based on surveillance data of patients with severe acute respiratory illness
This article has 1 author:Reviewed by ScreenIT
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Early clinical factors predicting the development of critical disease in Japanese patients with COVID‐19: A single‐center, retrospective, observational study
This article has 10 authors:Reviewed by ScreenIT
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COVID-MATCH65—A prospectively derived clinical decision rule for severe acute respiratory syndrome coronavirus 2
This article has 17 authors:Reviewed by ScreenIT
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Evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2
This article has 58 authors:Reviewed by ScreenIT
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Critical Questions when Interpreting Coronavirus PCR Diagnostics
This article has 7 authors:Reviewed by ScreenIT
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Sixty-Day Mortality Among 520 Italian Hospitalized COVID-19 Patients According to the Adopted Ventilatory Strategy in the Context of an Integrated Multidisciplinary Clinical Organization: A Population-Based Cohort Study
This article has 23 authors:Reviewed by ScreenIT
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How Strong is the Epidemiological Evidence for a Role of Vitamin D Levels on COVID-19 Infections and Mortality?
This article has 5 authors:Reviewed by ScreenIT
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COVIDStrategyCalculator: A software to assess testing and quarantine strategies for incoming travelers, contact management, and de-isolation
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 Antigenemia as a Confounding Factor in Immunodiagnostic Assays: A Case Study
This article has 13 authors:Reviewed by ScreenIT