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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Reduced pathogenicity of the SARS-CoV-2 omicron variant in hamsters
This article has 16 authors:Reviewed by ScreenIT
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Viral cultures, PCR Cycle threshold values and viral load estimation for COVID-19 infectious potential assessment in transplant patients: systematic review - Protocol Version 30 December 2021
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 screening in patients in need of urgent inpatient treatment in the Emergency Department (ED) by digitally integrated point-of-care PCR: a clinical cohort study
This article has 8 authors:Reviewed by ScreenIT
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Estimates of SARS-CoV-2 Omicron Variant Severity in Ontario, Canada
This article has 4 authors:Reviewed by ScreenIT
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Tracking Co-Occurrence of N501Y, P681R, and Other Key Mutations in SARS-CoV-2 Spike for Surveillance
This article has 6 authors:Reviewed by ScreenIT
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Amplicon-based nanopore minion sequencing of patients with COVID-19 omicron variant from India
This article has 9 authors:Reviewed by ScreenIT
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Subgenomic SARS-CoV-2 replicon and reporter replicon cell lines enable ultrahigh throughput antiviral screening and mechanistic studies with antivirals, viral mutations or host factors that affect COVID-19 replication
This article has 15 authors:Reviewed by ScreenIT
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Transition of Antibody Titers after SARS-CoV-2 mRNA Vaccination in Japanese Healthcare Workers
This article has 19 authors:Reviewed by ScreenIT
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SARS-CoV-2 Seroprevalence in Delhi, India, During September-October 2021: A Population-Based Seroepidemiological Study
This article has 10 authors:Reviewed by ScreenIT
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Short-term Projections based on Early Omicron Variant Dynamics in England
This article has 11 authors:Reviewed by ScreenIT