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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A Multitrait Locus Regulates Sarbecovirus Pathogenesis
This article has 32 authors:Reviewed by ScreenIT
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Investigating the optimum sample type and target genes for SARS-CoV-2 detection
This article has 4 authors:Reviewed by ScreenIT
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Homologous and Heterologous Boosting of the Chadox1-S1-S COVID-19 Vaccine With the SCB-2019 Vaccine Candidate: A Randomized, Controlled, Phase 2 Study
This article has 10 authors:Reviewed by ScreenIT
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COVID-19 is not an Independent Cause of Death
This article has 6 authors:Reviewed by ScreenIT
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Pregnancy during COVID-19: social contact patterns and vaccine coverage of pregnant women from CoMix in 19 European countries
This article has 38 authors:Reviewed by ScreenIT
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Iron status and the risk of sepsis and severe COVID-19: a two-sample Mendelian randomization study
This article has 9 authors:Reviewed by ScreenIT
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Selection for immune evasion in SARS-CoV-2 revealed by high-resolution epitope mapping combined with genome sequence analysis
This article has 14 authors:Reviewed by ScreenIT
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WAVES (Web-based tool for Analysis and Visualization of Environmental Samples)—a web application for visualization of wastewater pathogen sequencing results
This article has 4 authors:Reviewed by ScreenIT
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Severe acute respiratory syndrome coronavirus 2 breakthrough infections in healthcare workers vaccinees with BNT162b2 (Pfizer-BioNtech) in Bogotá, Colombia
This article has 9 authors:Reviewed by ScreenIT
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Antiviral immune responses, cellular metabolism and adhesion are differentially modulated by SARS-CoV-2 ORF7a or ORF7b
This article has 10 authors:Reviewed by ScreenIT