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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Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond
This article has 7 authors:Reviewed by ScreenIT
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Pango lineage designation and assignment using SARS-CoV-2 spike gene nucleotide sequences
This article has 5 authors:Reviewed by ScreenIT
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Rapid initiation of nasal saline irrigation to reduce severity in high-risk COVID+ outpatients
This article has 12 authors:Reviewed by ScreenIT
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Time-analysis of COVID-19 dispersion among health care workers and the general population
This article has 12 authors:Reviewed by ScreenIT
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T cell responses to SARS-CoV-2 in people with and without neurologic symptoms of long COVID
This article has 12 authors:Reviewed by ScreenIT
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SARS-CoV-2 Breakthrough Infections among the Healthcare Workers Post-Vaccination with ChAdOx1 nCoV-19 Vaccine in the South Indian State of Kerala
This article has 3 authors:Reviewed by ScreenIT
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Optimization of Non-Coding Regions Improves Protective Efficacy of an mRNA SARS-CoV-2 Vaccine in Nonhuman Primates
This article has 31 authors:Reviewed by ScreenIT
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Seasonal Betacoronavirus Antibodies’ Expansion Post-BNT161b2 Vaccination Associates with Reduced SARS-CoV-2 VoC Neutralization
This article has 19 authors:Reviewed by ScreenIT
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Evaluation of the Liberty16 Mobile Real Time PCR Device for Use With the SalivaDirect Assay for SARS-CoV-2 Testing
This article has 6 authors:Reviewed by ScreenIT
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A Single Dose of a Hybrid hAdV5-Based Anti-COVID-19 Vaccine Induces a Long-Lasting Immune Response and Broad Coverage against VOC
This article has 21 authors:Reviewed by ScreenIT