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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Modeling the SARS-CoV-2 mutation based on geographical regions and time
This article has 3 authors:Reviewed by ScreenIT
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Durability of SARS-CoV-2-specific T cell responses at 12-months post-infection
This article has 32 authors:Reviewed by ScreenIT
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Ongoing mitigation strategies and further needs of the United States food industry to control COVID-19 in the work environment
This article has 10 authors:Reviewed by ScreenIT
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The effect of eye protection on SARS-CoV-2 transmission: a systematic review
This article has 5 authors:Reviewed by ScreenIT
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Transmission dynamics and epidemiological characteristics of SARS-CoV-2 Delta variant infections in Guangdong, China, May to June 2021
This article has 13 authors:Reviewed by ScreenIT
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Ignoring spatial heterogeneity in drivers of SARS-CoV-2 transmission in the US will impede sustained elimination
This article has 6 authors:Reviewed by ScreenIT
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A simple method for estimating time-irreversible nucleotide substitution rates in the SARS-CoV-2 genome
This article has 2 authors:Reviewed by ScreenIT
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Did Low Risk Perception Mediate the COVID-19 Second Wave in Bangladesh? A Cross-sectional Study on Risk Perception and Preventive Practice
This article has 10 authors:Reviewed by ScreenIT
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ACE2 is the critical in vivo receptor for SARS-CoV-2 in a novel COVID-19 mouse model with TNF- and IFNγ-driven immunopathology
This article has 24 authors:This article has been curated by 1 group: -
Infection and transmission of ancestral SARS-CoV-2 and its alpha variant in pregnant white-tailed deer
This article has 20 authors:Reviewed by ScreenIT