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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MHC Haplotyping of SARS-CoV-2 Patients: HLA Subtypes Are Not Associated with the Presence and Severity of COVID-19 in the Israeli Population
This article has 9 authors:Reviewed by ScreenIT
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Process Development and Scale-up Optimization of the SARS-CoV-2 Receptor Binding Domain-Based Vaccine Candidate, RBD219-N1C1
This article has 12 authors:Reviewed by ScreenIT
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The impact of the COVID-19 epidemic on hospital admissions for alcohol-related liver disease and pancreatitis in Japan
This article has 6 authors:Reviewed by ScreenIT
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Analysis of the potential impact of genomic variants in SARS-CoV-2 genomes from India on molecular diagnostic assays
This article has 11 authors:Reviewed by ScreenIT
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A short report: Acute, non-COVID related medical admissions during the first wave of COVID-19: A retrospective comparison of changing patterns of disease
This article has 5 authors:Reviewed by ScreenIT
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COVID-19 Trends in Florida K-12 Schools, August 10 – November 14, 2020
This article has 1 author:Reviewed by ScreenIT
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Don’t wait, re-escalate: delayed action results in longer duration of COVID-19 restrictions
This article has 2 authors:Reviewed by ScreenIT
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An open label trial of anakinra to prevent respiratory failure in COVID-19
This article has 39 authors:Reviewed by ScreenIT
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Using Text Mining to Track Outbreak Trends in Global Surveillance of Emerging Diseases: ProMED-mail
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 RT-qPCR Test Detection Rates Are Associated with Patient Age, Sex, and Time since Diagnosis
This article has 12 authors:Reviewed by ScreenIT