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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Can Catastrophe Theory explain expansion and contagious of Covid-19?
This article has 1 author:Reviewed by ScreenIT
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Economic Losses Associated with COVID-19 Deaths in the United States
This article has 4 authors:Reviewed by ScreenIT
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Label-free SARS-CoV-2 detection and classification using phase imaging with computational specificity
This article has 12 authors:Reviewed by ScreenIT
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Implementing Essential Coaching for Every Mother during the COVID‐19 pandemic: A pre‐post intervention study
This article has 6 authors:Reviewed by ScreenIT
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Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19
This article has 5 authors:Reviewed by ScreenIT
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SEIHCRD Model for COVID-19 spread scenarios, disease predictions and estimates the basic reproduction number, case fatality rate, hospital, and ICU beds requirement
This article has 2 authors:Reviewed by ScreenIT
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Evaluation of the Abbott Architect, Roche Elecsys and Virtus S1 SARS-CoV-2 antibody tests in community-managed COVID-19 cases
This article has 11 authors:Reviewed by ScreenIT
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The wide spectrum of COVID-19 neuropsychiatric complications within a multidisciplinary centre
This article has 190 authors:Reviewed by ScreenIT
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Diagnostic Utility of a Ferritin-to-Procalcitonin Ratio to Differentiate Patients With COVID-19 From Those With Bacterial Pneumonia: A Multicenter Study
This article has 15 authors:Reviewed by ScreenIT
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Simplified model of Covid-19 epidemic prognosis under quarantine and estimation of quarantine effectiveness
This article has 5 authors:Reviewed by ScreenIT