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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Intravenous Mesenchymal Stem Cells in Extracorporeal Oxygenation Patients with Severe COVID-19 Acute Respiratory Distress Syndrome
This article has 37 authors:Reviewed by ScreenIT
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Optimal Size of COVID-19 Testing Pools
This article has 1 author:Reviewed by ScreenIT
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Comparison of Four Molecular In Vitro Diagnostic Assays for the Detection of SARS-CoV-2 in Nasopharyngeal Specimens
This article has 4 authors:Reviewed by ScreenIT
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Estimation of the Final Size of the COVID-19 Epidemic in Pakistan
This article has 2 authors:Reviewed by ScreenIT
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Rationing and triage of scarce, lifesaving therapy in the context of the COVID-19 pandemic: a cross-sectional, social media-driven, scenario-based online query of societal attitudes
This article has 3 authors:Reviewed by ScreenIT
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Use Of Canine Olfactory Detection For COVID-19 Testing Study On U.A.E. Trained Detection Dog Sensitivity
This article has 15 authors:Reviewed by ScreenIT
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Deep Learning Fusion for COVID-19 Diagnosis
This article has 3 authors:Reviewed by ScreenIT
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Clonal hematopoiesis is associated with risk of severe Covid-19
This article has 45 authors:Reviewed by ScreenIT
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Regular universal screening for SARS-CoV-2 infection may not allow reopening of society after controlling a pandemic wave
This article has 6 authors:Reviewed by ScreenIT
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An emergency system for monitoring pulse oximetry, peak expiratory flow, and body temperature of patients with COVID-19 at home: Development and preliminary application
This article has 10 authors:Reviewed by ScreenIT