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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Molecular dynamics of spike variants in the locked conformation: RBD interfaces, fatty acid binding and furin cleavage sites
This article has 6 authors:Reviewed by ScreenIT
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Assessing the feasibility of sustaining SARS-CoV-2 local containment in China in the era of highly transmissible variants
This article has 10 authors:Reviewed by ScreenIT
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Covid-19 vaccine effectiveness against general SARS-CoV-2 infection from the omicron variant: A retrospective cohort study
This article has 4 authors:Reviewed by ScreenIT
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Estimates of excess mortality for the five Nordic countries during the COVID-19 pandemic 2020−2021
This article has 7 authors:Reviewed by ScreenIT
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I-SPY COVID adaptive platform trial for COVID-19 acute respiratory failure: rationale, design and operations
This article has 30 authors:Reviewed by ScreenIT
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Escape of SARS-CoV-2 Variant Omicron to Mucosal Immunity in Vaccinated Subjects
This article has 6 authors:Reviewed by ScreenIT
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School immunization coverage during the COVID-19 pandemic: A retrospective cohort study
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 Vaccine Effectiveness during a Prison Outbreak when Omicron was the Dominant Circulating Variant—Zambia, December 2021
This article has 26 authors:Reviewed by ScreenIT
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A Statistical Definition of Epidemic Waves
This article has 1 author:Reviewed by ScreenIT
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Antibody responses to known and unknown SARS-CoV-2 infections after mRNA vaccine booster
This article has 10 authors:Reviewed by ScreenIT