ScreenIT
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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Identification of ACE2 modifiers by CRISPR screening
This article has 11 authors:Reviewed by ScreenIT
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A runtime alterable epidemic model with genetic drift, waning immunity and vaccinations
This article has 5 authors:Reviewed by ScreenIT
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The social specificities of hostility toward vaccination against Covid-19 in France
This article has 4 authors:Reviewed by ScreenIT
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Oral subunit SARS-CoV-2 vaccine induces systemic neutralizing IgG, IgA and cellular immune responses and can boost neutralizing antibody responses primed by an injected vaccine
This article has 21 authors:Reviewed by ScreenIT
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SARS‐CoV‐2 Alpha, Beta, and Delta variants display enhanced Spike‐mediated syncytia formation
This article has 18 authors:Reviewed by ScreenIT
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SARS‐CoV‐2 B.1.617 Indian variants: Are electrostatic potential changes responsible for a higher transmission rate?
This article has 12 authors:Reviewed by ScreenIT
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Wastewater SARS-CoV-2 monitoring as a community-level COVID-19 trend tracker and variants in Ohio, United States
This article has 10 authors:Reviewed by ScreenIT
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Response of Unvaccinated US Adults to Official Information About the Pause in Use of the Johnson & Johnson-Janssen COVID-19 Vaccine
This article has 2 authors:Reviewed by ScreenIT
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A multi-component, community-based strategy to facilitate COVID-19 vaccine uptake among Latinx populations: From theory to practice
This article has 23 authors:Reviewed by ScreenIT
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Predicted pH-dependent stability of SARS-CoV-2 spike protein trimer from interfacial acidic groups
This article has 2 authors:Reviewed by ScreenIT