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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Antibody Binding and Angiotensin-Converting Enzyme 2 Binding Inhibition Is Significantly Reduced for Both the BA.1 and BA.2 Omicron Variants
This article has 41 authors:Reviewed by ScreenIT
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Protective Effects of BNT162b2 Vaccination on Aerobic Capacity Following Mild to Moderate SARS-CoV-2 Infection: A Cross-Sectional Study Israel
This article has 14 authors:Reviewed by ScreenIT
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Social isolation and psychological distress among southern US college students in the era of COVID-19
This article has 6 authors:Reviewed by ScreenIT
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Predicting the impact of COVID-19 vaccination campaigns – a flexible age-dependent, spatially-stratified predictive model, accounting for multiple viral variants and vaccines
This article has 4 authors:Reviewed by ScreenIT
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Waning of SARS-CoV-2 Antibody levels response to inactivated cellular vaccine over 6 months among healthcare workers
This article has 9 authors:Reviewed by ScreenIT
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Inferring effects of mutations on SARS-CoV-2 transmission from genomic surveillance data
This article has 7 authors:Reviewed by ScreenIT
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Severity of COVID-19 reinfection and associated risk factors: findings of a cross-sectional study in Bangladesh
This article has 6 authors:Reviewed by ScreenIT
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Performance of COVIDSeq and Swift Normalase Amplicon SARS-CoV-2 Panels for SARS-CoV-2 Genome Sequencing: Practical Guide and Combining FASTQ Strategy
This article has 6 authors:Reviewed by ScreenIT
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Rapid turnaround multiplex sequencing of SARS-CoV-2: comparing tiling amplicon protocol performance
This article has 17 authors:Reviewed by ScreenIT
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Preferential expansion upon boosting of cross-reactive “pre-existing” switched memory B cells that recognize the SARS-CoV-2 Omicron variant Spike protein
This article has 25 authors:Reviewed by ScreenIT