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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COVID-19 Antibody Detection and Assay Performance Using Red Cell Agglutination
This article has 7 authors:Reviewed by ScreenIT
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Impact of baseline SARS-CoV-2 antibody status on syndromic surveillance and the risk of subsequent COVID-19—a prospective multicenter cohort study
This article has 21 authors:Reviewed by ScreenIT
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Preterm birth, stillbirth and early neonatal mortality during the Danish COVID-19 lockdown
This article has 16 authors:Reviewed by ScreenIT
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A clinical observational analysis of aerosol emissions from dental procedures
This article has 14 authors:Reviewed by ScreenIT
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A Novel Strategy for the Detection of SARS-CoV-2 Variants Based on Multiplex PCR-Mass Spectrometry Minisequencing Technology
This article has 15 authors:Reviewed by ScreenIT
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Inequalities in healthcare disruptions during the COVID-19 pandemic: evidence from 12 UK population-based longitudinal studies
This article has 17 authors:Reviewed by ScreenIT
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Seasonal variation in SARS-CoV-2 transmission in temperate climates: A Bayesian modelling study in 143 European regions
This article has 8 authors:Reviewed by ScreenIT
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Identifying SARS-COV-2 infected patients through canine olfactive detection on axillary sweat samples; study of observed sensitivities and specificities within a group of trained dogs
This article has 31 authors:Reviewed by ScreenIT
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Spatial Accessibility Modeling of Vaccine Deserts as Barriers to Controlling SARS-CoV-2
This article has 13 authors:Reviewed by ScreenIT
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Modeling and Reviewing Analysis of the COVID-19 Epidemic in Algeria with Diagnostic Shadow
This article has 6 authors:Reviewed by ScreenIT