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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The in vitro antiviral activity of the anti-hepatitis C virus (HCV) drugs daclatasvir and sofosbuvir against SARS-CoV-2
This article has 30 authors:Reviewed by ScreenIT
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COVID-19-Related Coagulopathy—Is Transferrin a Missing Link?
This article has 8 authors:Reviewed by ScreenIT
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Age-related gene expression alterations by SARS-CoV-2 infection contribute to poor prognosis in elderly
This article has 2 authors:Reviewed by ScreenIT
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Comparing library preparation methods for SARS-CoV-2 multiplex amplicon sequencing on the Illumina MiSeq platform
This article has 20 authors:Reviewed by ScreenIT
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Brain MR Spectroscopic Findings in 3 Consecutive Patients with COVID-19: Preliminary Observations
This article has 13 authors:Reviewed by ScreenIT
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Catching and killing of airborne SARS-CoV-2 to control spread of COVID-19 by a heated air disinfection system
This article has 11 authors:Reviewed by ScreenIT
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Evaluating angiotensin-converting enzyme 2-mediated SARS-CoV-2 entry across species
This article has 12 authors:Reviewed by ScreenIT
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Comparative analysis of coronavirus genomic RNA structure reveals conservation in SARS-like coronaviruses
This article has 8 authors:Reviewed by ScreenIT
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The IMEx Coronavirus interactome: an evolving map of Coronaviridae-Host molecular interactions
This article has 20 authors:Reviewed by ScreenIT
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A Final Laboratory Validation Study and Comparative Performance Evaluation of The Abbott ID NOWTM COVID-19 Assay in A Coastal California Tertiary Care Medical Center
This article has 1 author:Reviewed by ScreenIT