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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Anti-SARS-CoV-2 potential of Cissampelos pareira L. identified by connectivity map-based analysis and in vitro studies
This article has 16 authors:Reviewed by ScreenIT
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Safety, immunogenicity, and efficacy of a COVID-19 vaccine (NVX-CoV2373) co-administered with seasonal influenza vaccines: an exploratory substudy of a randomised, observer-blinded, placebo-controlled, phase 3 trial
This article has 312 authors: -
SARS-CoV-2-antibody response in health care workers after vaccination or natural infection in a longitudinal observational study
This article has 9 authors:Reviewed by ScreenIT
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A Bioinformatics Tool for Predicting Future COVID-19 Waves Based on a Retrospective Analysis of the Second Wave in India: Model Development Study
This article has 9 authors:Reviewed by ScreenIT
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Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database
This article has 8 authors:Reviewed by ScreenIT
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High throughput sequencing based direct detection of SARS-CoV-2 fragments in wastewater of Pune, West India
This article has 9 authors:Reviewed by ScreenIT
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The lag in SARS-CoV-2 genome submissions to GISAID
This article has 3 authors:Reviewed by ScreenIT
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Safety and potency of BIV1‐CovIran inactivated vaccine candidate for SARS‐CoV‐2: A preclinical study
This article has 13 authors:Reviewed by ScreenIT
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Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the UK COVID-19 second wave, for early discharge, severity and mortality: a PREDICT COVID UK prospective observational cohort study
This article has 13 authors:Reviewed by ScreenIT
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MPI8 is Potent against SARS‐CoV‐2 by Inhibiting Dually and Selectively the SARS‐CoV‐2 Main Protease and the Host Cathepsin L**
This article has 9 authors:Reviewed by ScreenIT