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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Water-Triggered, Irreversible Conformational Change of SARS-CoV-2 Main Protease on Passing from the Solid State to Aqueous Solution
This article has 4 authors:Reviewed by ScreenIT
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Development of a model-inference system for estimating epidemiological characteristics of SARS-CoV-2 variants of concern
This article has 2 authors:Reviewed by ScreenIT
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Performance of the TaqMan COVID-19 Pooling Kit for detection of SARS-CoV-2 in asymptomatic and symptomatic populations
This article has 6 authors:Reviewed by ScreenIT
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Early detection of COVID-19 outbreaks using human mobility data
This article has 6 authors:Reviewed by ScreenIT
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Dysbiosis and structural disruption of the respiratory microbiota in COVID-19 patients with severe and fatal outcomes
This article has 20 authors:Reviewed by ScreenIT
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Mechanistic model calibration and the dynamics of the COVID-19 epidemic in the UK (the past, the present and the future)
This article has 5 authors:Reviewed by ScreenIT
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4’-Fluorouridine is a broad-spectrum orally efficacious antiviral blocking respiratory syncytial virus and SARS-CoV-2 replication
This article has 15 authors:Reviewed by ScreenIT
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2SIR-VD Model to Compare Idealized COVID-19 Vaccine Distribution Strategies in the Philippines
This article has 5 authors:Reviewed by ScreenIT
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A Cross-Sectional Study of the Mismatch Between Telecommuting Preference and Frequency Associated With Psychological Distress Among Japanese Workers in the COVID-19 Pandemic
This article has 9 authors:Reviewed by ScreenIT
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Evaluation of new or repurposed treatments for COVID-19: protocol for the phase Ib/IIa DEFINE trial platform
This article has 13 authors:Reviewed by ScreenIT