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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Emerging genetic diversity of SARS-CoV-2 RNA dependent RNA polymerase (RdRp) alters its B-cell epitopes
This article has 3 authors:Reviewed by ScreenIT
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COVID-19 susceptibility variants associate with blood clots, thrombophlebitis and circulatory diseases
This article has 6 authors:Reviewed by ScreenIT
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Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands
This article has 8 authors:Reviewed by ScreenIT
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Rapid detection of neutralizing antibodies to SARS-CoV-2 variants in post-vaccination sera
This article has 11 authors:Reviewed by ScreenIT
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Obstructive sleep apnea is highly prevalent in COVID19 related moderate to severe ARDS survivors: findings of level I polysomnography in a tertiary care hospital
This article has 7 authors:Reviewed by ScreenIT
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A novel class of TMPRSS2 inhibitors potently block SARS-CoV-2 and MERS-CoV viral entry and protect human epithelial lung cells
This article has 23 authors:Reviewed by ScreenIT
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How can risk of COVID-19 transmission be minimised in domiciliary care for older people: development, parameterisation and initial results of a simple mathematical model
This article has 11 authors:Reviewed by ScreenIT
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COVID-19 Phenotypes and Comorbidity: A Data-Driven, Pattern Recognition Approach Using National Representative Data from the United States
This article has 8 authors:Reviewed by ScreenIT
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Single-Virus Fusion Measurements Reveal Multiple Mechanistically Equivalent Pathways for SARS-CoV-2 Entry
This article has 5 authors:Reviewed by ScreenIT
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Mathematical analysis and topology of SARS-CoV-2, bonding with cells and unbonding
This article has 2 authors:Reviewed by ScreenIT