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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A Neanderthal OAS1 isoform protects individuals of European ancestry against COVID-19 susceptibility and severity
This article has 41 authors:Reviewed by ScreenIT
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Tracking and Classifying Global COVID-19 Cases by using 1D Deep Convolution Neural Networks
This article has 1 author:Reviewed by ScreenIT
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Comparison of viral levels in individuals with or without symptoms at time of COVID-19 testing among 32,480 residents and staff of nursing homes and assisted living facilities in Massachusetts
This article has 9 authors:Reviewed by ScreenIT
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Bioinformatics Analysis Unveils Certain Mutations Implicated in Spike Structure Damage and Ligand-Binding Site of Severe Acute Respiratory Syndrome Coronavirus 2
This article has 1 author:Reviewed by ScreenIT
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Adjusting confirmed COVID-19 case counts for testing volume
This article has 1 author:Reviewed by ScreenIT
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News Coverage and Drug Shortages during the COVID-19 Pandemic
This article has 4 authors:Reviewed by ScreenIT
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Look before diving into pooling of SARS-CoV-2 samples on high throughput analyzers
This article has 10 authors:Reviewed by ScreenIT
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Resuming assisted reproduction services during COVID-19 Pandemic: An Indian experience
This article has 8 authors:Reviewed by ScreenIT
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Testing for coronavirus (SARS-CoV-2) infection in populations with low infection prevalence: the largely ignored problem of false positives and the value of repeat testing
This article has 7 authors:Reviewed by ScreenIT
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Effect of temperature and precipitation on the daily new cases and daily new death in seven cities around the globe
This article has 7 authors:Reviewed by ScreenIT