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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The impact of coronavirus disease 2019 pandemic on bronchiolitis (lower respiratory tract infection) due to respiratory syncytial virus: A systematic review and meta-analysis
This article has 4 authors:Reviewed by ScreenIT
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Systematic analysis of alternative splicing in time course data using Spycone
This article has 8 authors:Reviewed by ScreenIT
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Protection against omicron (B.1.1.529) BA.2 reinfection conferred by primary omicron BA.1 or pre-omicron SARS-CoV-2 infection among health-care workers with and without mRNA vaccination: a test-negative case-control study
This article has 15 authors:Reviewed by ScreenIT
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A Bacteriophage-Based, Highly Efficacious, Needle- and Adjuvant-Free, Mucosal COVID-19 Vaccine
This article has 18 authors:Reviewed by ScreenIT
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Immediate myeloid depot for SARS-CoV-2 in the human lung
This article has 26 authors:Reviewed by ScreenIT
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Argon plasma-modified bacterial cellulose filters for protection against respiratory pathogens
This article has 9 authors:Reviewed by ScreenIT
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Occupational differences in SARS-CoV-2 infection: analysis of the UK ONS COVID-19 infection survey
This article has 9 authors:Reviewed by ScreenIT
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Understanding Definitions and Reporting of Deaths Attributed to COVID-19 in the UK – Evidence from FOI Requests
This article has 4 authors:Reviewed by ScreenIT
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Diet induced obesity and type 2 diabetes drives exacerbated sex-associated disease profiles in K18-hACE2-mice challenged with SARS-CoV-2
This article has 10 authors:Reviewed by ScreenIT
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Neuropsychological assessments for dementia research in the COVID-19 era: comparing remote and face-to-face testing
This article has 13 authors:Reviewed by ScreenIT