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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Preparedness and Response to Pediatric COVID-19 in European Emergency Departments: A Survey of the REPEM and PERUKI Networks
This article has 24 authors:Reviewed by ScreenIT
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Fast SARS-CoV-2 detection protocol based on RNA precipitation and RT-qPCR in nasopharyngeal swab samples
This article has 51 authors:Reviewed by ScreenIT
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Spatial–Temporal Variations in Atmospheric Factors Contribute to SARS-CoV-2 Outbreak
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 severe pneumonia in Mexico City – First experience in a Mexican hospital
This article has 20 authors:Reviewed by ScreenIT
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Pooled testing with replication as a mass testing strategy for the COVID-19 pandemics
This article has 3 authors:Reviewed by ScreenIT
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Protective Elements of Mental Health Status during the COVID-19 Outbreak in the Portuguese Population
This article has 9 authors:Reviewed by ScreenIT
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Risk assessment via layered mobile contact tracing for epidemiological intervention
This article has 3 authors:Reviewed by ScreenIT
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Epidemic analysis of COVID-19 Outbreak and Counter-Measures in France
This article has 6 authors:Reviewed by ScreenIT
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QT interval prolongation and torsade de pointes in patients with COVID-19 treated with hydroxychloroquine/azithromycin
This article has 18 authors:Reviewed by ScreenIT
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Population-scale testing can suppress the spread of COVID-19
This article has 3 authors:Reviewed by ScreenIT