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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Waning of BNT162b2 Vaccine Protection against SARS-CoV-2 Infection in Qatar
This article has 24 authors:Reviewed by ScreenIT
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Effectiveness of Vaccination against SARS-CoV-2 Infection in the Pre-Delta Era: A Systematic Review and Meta-Analysis
This article has 6 authors:Reviewed by ScreenIT
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Long-term immunogenicity of BNT162b2 vaccination in older people and younger health-care workers
This article has 14 authors:Reviewed by ScreenIT
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Woodsmoke particulates alter expression of antiviral host response genes in human nasal epithelial cells infected with SARS-CoV-2 in a sex-dependent manner
This article has 6 authors:Reviewed by ScreenIT
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Application of Random Matrix Theory With Maximum Local Overlapping Semicircles for Comorbidity Analysis
This article has 4 authors:Reviewed by ScreenIT
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mRNA vaccine effectiveness against COVID-19-related hospitalisations and deaths in older adults: a cohort study based on data linkage of national health registries in Portugal, February to August 2021
This article has 10 authors:Reviewed by ScreenIT
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Variation in synonymous nucleotide composition among genomes of sarbecoviruses and consequences for the origin of COVID-19
This article has 1 author:Reviewed by ScreenIT
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Enhanced neutrophil extracellular trap formation in COVID-19 is inhibited by the protein kinase C inhibitor ruboxistaurin
This article has 14 authors:Reviewed by ScreenIT
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Evaluation of Commercial Anti-SARS-CoV-2 Antibody Assays and Comparison of Standardized Titers in Vaccinated Health Care Workers
This article has 15 authors:Reviewed by ScreenIT
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SARS-CoV-2 Susceptibility and ACE2 Gene Variations Within Diverse Ethnic Backgrounds
This article has 13 authors:Reviewed by ScreenIT