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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COVID-19: Estimation of the Actual Onset of Local Epidemic Cycles, Determination of Total Number of Infective, and Duration of the Incubation Period
This article has 2 authors:Reviewed by ScreenIT
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Functional genomic screens identify human host factors for SARS-CoV-2 and common cold coronaviruses
This article has 12 authors:Reviewed by ScreenIT
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Fractal kinetics of COVID-19 pandemic (with update 3/1/20)
This article has 2 authors:Reviewed by ScreenIT
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The impact of lockdown during the COVID-19 pandemic on mental and social health of children and adolescents
This article has 11 authors:Reviewed by ScreenIT
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Comparative multiplexed interactomics of SARS-CoV-2 and homologous coronavirus non-structural proteins identifies unique and shared host-cell dependencies
This article has 4 authors:Reviewed by ScreenIT
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Change in outbreak epicentre and its impact on the importation risks of COVID-19 progression: A modelling study
This article has 9 authors:Reviewed by ScreenIT
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A Novel Approach to Monitoring the COVID-19 Pandemic using Emergency Department Discharge Diagnoses
This article has 6 authors:Reviewed by ScreenIT
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Divergences on expected pneumonia cases during the COVID-19 epidemic in Catalonia: a time-series analysis of primary care electronic health records covering about 6 million people
This article has 11 authors:Reviewed by ScreenIT
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Associations between ambient air pollutants exposure and case fatality rate of COVID-19: a multi-city ecological study in China
This article has 5 authors:Reviewed by ScreenIT
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SARS‐CoV‐2 worldwide replication drives rapid rise and selection of mutations across the viral genome: a time‐course study – potential challenge for vaccines and therapies
This article has 5 authors:Reviewed by ScreenIT