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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Efficacy and safety of convalescent plasma and intravenous immunoglobulin in critically ill COVID-19 patients. A controlled clinical trial
This article has 17 authors:Reviewed by ScreenIT
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SARS-CoV-2 detection from the built environment and wastewater and its use for hospital surveillance
This article has 10 authors:Reviewed by ScreenIT
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Levels of Produced Antibodies after Vaccination with mRNA Vaccine; Effect of Previous Infection with SARS-CoV-2
This article has 13 authors:Reviewed by ScreenIT
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Protracted yet Coordinated Differentiation of Long-Lived SARS-CoV-2-Specific CD8+ T Cells during Convalescence
This article has 14 authors:Reviewed by ScreenIT
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Unique protein features of SARS-CoV-2 relative to other Sarbecoviruses
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 immune evasion by variant B.1.427/B.1.429
This article has 31 authors:Reviewed by ScreenIT
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Decisive conditions for strategic vaccination against SARS-CoV-2
This article has 2 authors:Reviewed by ScreenIT
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Introductions and evolutions of SARS-CoV-2 strains in Japan
This article has 6 authors:Reviewed by ScreenIT
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Implementation of SARS-CoV-2 Monoclonal Antibody Infusion Sites at Three Medical Centers in the United States: Strengths and Challenges Assessment to Inform COVID-19 Pandemic and Future Public Health Emergency Use
This article has 21 authors:Reviewed by ScreenIT
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Curating the Evidence About COVID-19 for Frontline Public Health and Clinical Care: The Novel Coronavirus Research Compendium
This article has 25 authors:Reviewed by ScreenIT