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 vaccination acceptance in the canton of Geneva: a cross-sectional population-based study
This article has 8 authors:Reviewed by ScreenIT
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Construction of a new chromosome-scale, long-read reference genome assembly for the Syrian hamster, Mesocricetus auratus
This article has 14 authors:Reviewed by GigaScience, ScreenIT
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Simulating the impact of non-pharmaceutical interventions limiting transmission in COVID-19 epidemics using a membrane computing model
This article has 9 authors:Reviewed by ScreenIT
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Epigenome-wide DNA methylation profiling of healthy COVID-19 recoverees reveals a unique signature in circulating immune cells
This article has 10 authors:Reviewed by ScreenIT
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Risk factors for PICU admission and death among children and young people hospitalized with COVID-19 and PIMS-TS in England during the first pandemic year
This article has 15 authors:Reviewed by ScreenIT
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Incidence of outbreak-associated COVID-19 cases by industry in Ontario, Canada, 1 April 2020–31 March 2021
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 and the role of vertical transmission from infected pregnant women to their fetuses: systematic review.
This article has 9 authors:Reviewed by ScreenIT
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SARS-CoV-2 environmental contamination from hospitalised patients with COVID-19 receiving aerosol-generating procedures
This article has 17 authors:Reviewed by ScreenIT
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COVID-19 vaccine hesitancy and refusal and associated factors in an adult population in Saskatchewan, Canada: Evidence from predictive modelling
This article has 6 authors:Reviewed by ScreenIT
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Transmission event of SARS-CoV-2 delta variant reveals multiple vaccine breakthrough infections
This article has 15 authors: