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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Dietary Differences by Job Type and Industry Among Workers in Japan During the COVID-19 Pandemic: A Cross-Sectional Study
This article has 10 authors:Reviewed by ScreenIT
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Impact of the Early Stages of the COVID-19 Pandemic on Coverage of Reproductive, Maternal, and Newborn Health Interventions in Ethiopia: A Natural Experiment
This article has 6 authors:Reviewed by ScreenIT
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From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering
This article has 8 authors:Reviewed by ScreenIT
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Infection inhibiting effect of RT-PCR testing-isolation in COVID-19 - a case study of Hiroshima and Fukuoka in Japan -
This article has 1 author:Reviewed by ScreenIT
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Comparative analyses of eighteen rapid antigen tests and RT-PCR for COVID-19 quarantine and surveillance-based isolation
This article has 12 authors:Reviewed by ScreenIT
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Single-shot rAAV5-based Vaccine Provides Long-term Protective Immunity against SARS-CoV-2 and Its Variants
This article has 33 authors:Reviewed by ScreenIT
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Profile of Mucormycosis Cases from a Network of Hospitals in North India Amidst COVID-19 Pandemic
This article has 74 authors:Reviewed by ScreenIT
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The efficacy and safety of bamlanivimab treatment against COVID-19: A meta-analysis
This article has 6 authors:Reviewed by ScreenIT
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An in-depth statistical analysis of the COVID-19 pandemic’s initial spread in the WHO African region
This article has 20 authors:Reviewed by ScreenIT
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Dynamic activity in cis-regulatory elements of leukocytes identifies transcription factor activation and stratifies COVID-19 severity in ICU patients
This article has 26 authors:Reviewed by ScreenIT