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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Mutational Analysis of SARS-CoV-2 Genome in African Population
This article has 3 authors:Reviewed by ScreenIT
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Wastewater Sample Site Selection to Estimate Geographically Resolved Community Prevalence of COVID‐19: A Sampling Protocol Perspective
This article has 7 authors:Reviewed by ScreenIT
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Center-Based Experiences Implementing Strategies to Reduce Risk of Horizontal Transmission of SARS-Cov-2: Potential for Compromise of Neonatal Microbiome Assemblage
This article has 13 authors:Reviewed by ScreenIT
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Fevers Are Rarer in the Morning—Could We Be Missing Infectious Disease Cases by Screening for Fever Then?
This article has 6 authors:Reviewed by ScreenIT
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Modelling the impact of relaxing COVID ‐19 control measures during a period of low viral transmission
This article has 15 authors:Reviewed by ScreenIT
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Mitigation of COVID-19 using social distancing of the elderly in Brazil: The vertical quarantine effects in hospitalizations and deaths
This article has 3 authors:Reviewed by ScreenIT
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Mathematical modeling of the transmission of SARS-CoV-2—Evaluating the impact of isolation in São Paulo State (Brazil) and lockdown in Spain associated with protective measures on the epidemic of CoViD-19
This article has 4 authors:Reviewed by ScreenIT
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European and US lockdowns and second waves during the COVID-19 pandemic
This article has 1 author:Reviewed by ScreenIT
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High-dimensional profiling reveals phenotypic heterogeneity and disease-specific alterations of granulocytes in COVID-19
This article has 38 authors:Reviewed by ScreenIT
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Saliva TwoStep for rapid detection of asymptomatic SARS-CoV-2 carriers
This article has 25 authors:Reviewed by ScreenIT