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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Estimated SARS-CoV-2 Seroprevalence in Children and Adolescents in Mississippi, May Through September 2020
This article has 12 authors:Reviewed by ScreenIT
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Ferritin nanoparticle-based SARS-CoV-2 RBD vaccine induces a persistent antibody response and long-term memory in mice
This article has 5 authors:Reviewed by ScreenIT
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Performance of Abbott Architect, Ortho Vitros, and Euroimmun Assays in Detecting Prior SARS-CoV-2 Infection
This article has 8 authors:Reviewed by ScreenIT
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COVID-19 vaccination rate and protection attitudes can determine the best prioritisation strategy to reduce fatalities
This article has 3 authors:Reviewed by ScreenIT
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Impact of Convalescent Plasma Transfusion (CCP) In Patients With Previous Circulating Neutralizing Antibodies (nAb) to COVID-19
This article has 31 authors:Reviewed by ScreenIT
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Risk perceptions and preventive practices of COVID-19 among healthcare professionals in public hospitals in Addis Ababa, Ethiopia
This article has 5 authors:Reviewed by ScreenIT
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Correlation between adult tobacco smoking prevalence and mortality of Coronavirus Disease-19 across the world
This article has 2 authors:Reviewed by ScreenIT
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Targeting the coronavirus nucleocapsid protein through GSK-3 inhibition
This article has 19 authors:Reviewed by ScreenIT
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Modeling the dynamics of COVID19 spread during and after social distancing: interpreting prolonged infection plateaus
This article has 2 authors:Reviewed by ScreenIT
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Ultra-Sensitive Serial Profiling of SARS-CoV-2 Antigens and Antibodies in Plasma to Understand Disease Progression in COVID-19 Patients with Severe Disease
This article has 17 authors:Reviewed by ScreenIT