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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Stabilization of the coronavirus pandemic in Italy and global prospects
This article has 1 author:Reviewed by ScreenIT
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An automatic pipeline for the design of irreversible derivatives identifies a potent SARS-CoV-2 Mpro inhibitor
This article has 17 authors:Reviewed by ScreenIT
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Multiplexed, microscale, microarray-based serological assay for antibodies against all human-relevant coronaviruses
This article has 7 authors:Reviewed by ScreenIT
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Optimal Pool Size for COVID-19 Group Testing
This article has 2 authors:Reviewed by ScreenIT
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Time-Series Clustering for Home Dwell Time during COVID-19: What Can We Learn from It?
This article has 6 authors:Reviewed by ScreenIT
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COVID-19 European regional tracker
This article has 1 author:Reviewed by ScreenIT
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Robotic RNA extraction for SARS-CoV-2 surveillance using saliva samples
This article has 22 authors:Reviewed by ScreenIT
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Atmospheric PM2.5 before and after Lockdown in relation to COVID-19 Evolution and daily Viral Counts: Could Viral Natural Selection have occurred due to changes in the Airborne Pollutant PM2.5 acting as a Vector for SARS-CoV-2?
This article has 1 author:Reviewed by ScreenIT
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Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU
This article has 13 authors:Reviewed by ScreenIT
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The Polybasic Cleavage Site in SARS-CoV-2 Spike Modulates Viral Sensitivity to Type I Interferon and IFITM2
This article has 10 authors:Reviewed by ScreenIT