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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Short report: Ethnicity and COVID-19 death in the early part of the COVID-19 second wave in England: an analysis of OpenSAFELY data from 1 st September to 9 th November 2020
This article has 33 authors:Reviewed by ScreenIT
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Molecular Characterization, Phylogenetic and Variation Analyzes of SARS-CoV-2 strains in Turkey
This article has 3 authors:Reviewed by ScreenIT
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A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
This article has 6 authors:Reviewed by ScreenIT
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Discontinuation of isolation for persons with COVID-19: Is 10 days really safe?
This article has 10 authors:Reviewed by ScreenIT
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Covid-19 Mortality Rates in Northamptonshire UK: Initial Sub-regional Comparisons and Provisional SEIR model of First Wave Disease Spread
This article has 2 authors:Reviewed by ScreenIT
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COVID-19-related state-wise racial and ethnic disparities across the USA: an observational study based on publicly available data from The COVID Tracking Project
This article has 10 authors:Reviewed by ScreenIT
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Joint CBC-ICT Interpretation for the pre-surgical screening of COVID 19 asymptomatic cases: A cross-sectional study
This article has 6 authors:Reviewed by ScreenIT
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Rapid behavioural response of urban birds to COVID-19 lockdown
This article has 4 authors:Reviewed by ScreenIT
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Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis
This article has 4 authors:Reviewed by ScreenIT
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Global Genomic Analysis of SARS-CoV-2 RNA Dependent RNA Polymerase Evolution and Antiviral Drug Resistance
This article has 25 authors:Reviewed by ScreenIT