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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Lack of coordination and medical disinformation in Canadian self-assessment tools for COVID-19
This article has 2 authors:Reviewed by ScreenIT
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The impact of early scientific literature in response to COVID-19: a scientometric perspective
This article has 7 authors:Reviewed by ScreenIT
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SARS-Cov-2RNA found on particulate matter of Bergamo in Northern Italy: First evidence
This article has 15 authors:Reviewed by ScreenIT
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A consideration of publication-derived immune-related associations in Coronavirus and related lung damaging diseases
This article has 2 authors:Reviewed by ScreenIT
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Predicting Hospital Demand During the COVID-19 Outbreak in Bogotá, Colombia
This article has 2 authors:Reviewed by ScreenIT
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Mesenchymal stromal cells for COVID-19: A living systematic review protocol
This article has 4 authors:Reviewed by ScreenIT
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Modeling Exit Strategies from COVID-19 Lockdown with a Focus on Antibody Tests
This article has 5 authors:Reviewed by ScreenIT
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A Rapidly Deployable Negative Pressure Enclosure for Aerosol-Generating Medical Procedures
This article has 5 authors:Reviewed by ScreenIT
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Persistence of Severe Acute Respiratory Syndrome Coronavirus 2 in Aerosol Suspensions
This article has 20 authors:Reviewed by ScreenIT
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International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
This article has 87 authors:Reviewed by ScreenIT