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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Theoretical causes of the Brazilian P.1 and P.2 lineages of the SARS-CoV-2 virus through molecular dynamics
This article has 6 authors:Reviewed by ScreenIT
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Objective and Subjective COVID-19 Vaccine Reactogenicity by Age and Vaccine Manufacturer
This article has 2 authors:Reviewed by ScreenIT
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Ovarian follicular function is not altered by SARS–CoV-2 infection or BNT162b2 mRNA COVID-19 vaccination
This article has 16 authors:Reviewed by ScreenIT
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Elucidating symptoms of COVID-19 illness in the Arizona CoVHORT: a longitudinal cohort study
This article has 19 authors:Reviewed by ScreenIT
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A high-throughput fluorescence polarization assay to discover inhibitors of arenavirus and coronavirus exoribonucleases
This article has 10 authors:Reviewed by ScreenIT
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COVID-19 Vaccination Priority Evaluation
This article has 2 authors:Reviewed by ScreenIT
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The Influence of COVID-19 Vaccination on Daily Cases, Hospitalization, and Death Rate in Tennessee, United States: Case Study
This article has 1 author:Reviewed by ScreenIT
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Impact of COVID-19 pandemic on rare diseases - A case study on thalassaemia patients in Bangladesh
This article has 3 authors:Reviewed by ScreenIT
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“Amantadine disrupts lysosomal gene expression; potential therapy for COVID19”
This article has 3 authors:Reviewed by ScreenIT
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Years of life lost associated with COVID-19 deaths in the USA during the first year of the pandemic
This article has 4 authors:Reviewed by ScreenIT