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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Policy Interventions, Social Distancing, and SARS-CoV-2 Transmission in the United States: A Retrospective State-level Analysis
This article has 12 authors:Reviewed by ScreenIT
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COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach
This article has 1 author:Reviewed by ScreenIT
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Pharmacological interventions for COVID-19: Protocol for a Rapid Living Systematic Review with network meta-analysis
This article has 14 authors:Reviewed by ScreenIT
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A Simple Early Warning Signal for COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Sensitivity of Nasopharyngeal Swabs and Saliva for the Detection of Severe Acute Respiratory Syndrome Coronavirus 2
This article has 38 authors:Reviewed by ScreenIT
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SARS–CoV-2 infection of the placenta
This article has 36 authors:Reviewed by ScreenIT
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Clinical Outcomes and Plasma Concentrations of Baloxavir Marboxil and Favipiravir in COVID-19 Patients: An Exploratory Randomized, Controlled Trial
This article has 13 authors:Reviewed by ScreenIT
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A systematic review and meta-analysis to evaluate the clinical outcomes in COVID-19 patients on angiotensin-converting enzyme inhibitors or angiotensin receptor blockers
This article has 2 authors:Reviewed by ScreenIT
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Single-Cell Transcriptome Analysis Decipher New Potential Regulation Mechanism of ACE2 and NPs Signaling Among Heart Failure Patients Infected With SARS-CoV-2
This article has 12 authors:Reviewed by ScreenIT
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Estimation of the basic reproduction number, average incubation time, asymptomatic infection rate, and case fatality rate for COVID‐19: Meta‐analysis and sensitivity analysis
This article has 3 authors:Reviewed by ScreenIT