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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Estimating the number of symptomatic SARS-CoV-2 infections among vaccinated individuals in the United States—January–July, 2021
This article has 8 authors:Reviewed by ScreenIT
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Optical nanoscopy reveals SARS-CoV-2-induced remodeling of human airway cells
This article has 19 authors:Reviewed by ScreenIT
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Pandemic-Scale Phylogenomics Reveals Elevated Recombination Rates in the SARS-CoV-2 Spike Region
This article has 10 authors:Reviewed by ScreenIT
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Limited Variation between SARS-CoV-2-Infected Individuals in Domain Specificity and Relative Potency of the Antibody Response against the Spike Glycoprotein
This article has 21 authors:Reviewed by ScreenIT
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Integrated miRNA/cytokine/chemokine profiling reveals severity-associated step changes and principal correlates of fatality in COVID-19
This article has 21 authors:Reviewed by ScreenIT
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Population normalisation in wastewater-based epidemiology for improved understanding of SARS-CoV-2 prevalence: A multi-site study
This article has 6 authors:Reviewed by ScreenIT
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Surveillance genome sequencing reveals multiple SARS‐CoV‐2 variants circulating in central Texas, USA, with a predominance of delta variant and review of vaccine breakthrough cases
This article has 9 authors:Reviewed by ScreenIT
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COVID-19 Impact on Stroke Admissions during France’s First Epidemic Peak: An Exhaustive, Nationwide, Observational Study
This article has 8 authors:Reviewed by ScreenIT
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Outbreak of SARS-CoV-2 in a prison: Low effectiveness of a single dose of the adenovirus vector ChAdOx1 vaccine in recently vaccinated inmates
This article has 8 authors:Reviewed by ScreenIT
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Contribution of single mutations to selected SARS-CoV-2 emerging variants spike antigenicity
This article has 14 authors:Reviewed by ScreenIT