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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Dynamics of the Third wave, modelling COVID-19 pandemic with an outlook towards India
This article has 4 authors:Reviewed by ScreenIT
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The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis
This article has 37 authors:Reviewed by ScreenIT
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Modelling the cost-effectiveness of essential and advanced critical care for COVID-19 patients in Kenya
This article has 6 authors:Reviewed by ScreenIT
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Association of cerebral venous thrombosis with recent COVID-19 vaccination: case-crossover study using ascertainment through neuroimaging in Scotland
This article has 8 authors:Reviewed by ScreenIT
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Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study
This article has 4 authors:Reviewed by ScreenIT
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Segregation of children into small groups for in-person learning during the COVID-19 pandemic
This article has 2 authors:Reviewed by ScreenIT
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Effect of Delta variant on viral burden and vaccine effectiveness against new SARS-CoV-2 infections in the UK
This article has 18 authors:Reviewed by ScreenIT
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Deep immune profiling of the maternal-fetal interface with mild SARS-CoV-2 infection
This article has 9 authors:Reviewed by ScreenIT
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COVID-19 Seroprevalence in Canada Modelling Waning and Boosting COVID-19 Immunity in Canada a Canadian Immunization Research Network Study
This article has 8 authors:Reviewed by ScreenIT
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Men are the main COVID-19 transmitters: behavior or biology?
This article has 6 authors:Reviewed by ScreenIT