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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The Effect of NFL and NCAA Football Games on the Spread of COVID-19 in the United States: An Empirical Analysis
This article has 5 authors:Reviewed by ScreenIT
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SARS-CoV-2 Infection Severity Is Linked to Superior Humoral Immunity against the Spike
This article has 25 authors:Reviewed by ScreenIT
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Utility of the FebriDx point-of-care assay in supporting a triage algorithm for medical admissions with possible COVID-19: an observational cohort study
This article has 16 authors:Reviewed by ScreenIT
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BRAZIL IS PROJECTED TO BE THE NEXT GLOBAL COVID-19 PANDEMIC EPICENTER
This article has 3 authors:Reviewed by ScreenIT
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SARS Coronavirus-2 Microneutralisation and Commercial Serological Assays Correlated Closely for Some but Not All Enzyme Immunoassays
This article has 18 authors:Reviewed by ScreenIT
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Residual SARS-CoV-2 viral antigens detected in GI and hepatic tissues from five recovered patients with COVID-19
This article has 22 authors:Reviewed by ScreenIT
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Household factors and the risk of severe COVID-like illness early in the U.S. pandemic
This article has 16 authors:Reviewed by ScreenIT
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Distinguishing non severe cases of dengue from COVID-19 in the context of co-epidemics: A cohort study in a SARS-CoV-2 testing center on Reunion island
This article has 10 authors:Reviewed by ScreenIT
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Levels of the TNF-Related Cytokine LIGHT Increase in Hospitalized COVID-19 Patients with Cytokine Release Syndrome and ARDS
This article has 6 authors:Reviewed by ScreenIT
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Estimating the burden of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality in England and Wales: a population-level analysis
This article has 7 authors:Reviewed by ScreenIT