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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Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study
This article has 21 authors:Reviewed by ScreenIT
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Risk factors for SARS-CoV-2 infection, hospitalisation, and death in Catalonia, Spain: a population-based cross-sectional study
This article has 10 authors:Reviewed by ScreenIT
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Mental health of health care workers during the COVID-19 pandemic and evidence-based frameworks for mitigation: A rapid review
This article has 2 authors:Reviewed by ScreenIT
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Potential magnitude of COVID-19-induced healthcare resource depletion in Ontario, Canada
This article has 6 authors:Reviewed by ScreenIT
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Clinical Outcomes of Critically III Patients with COVID-19 by Race
This article has 12 authors:Reviewed by ScreenIT
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A household case evidences shorter shedding of SARS-CoV-2 in naturally infected cats compared to their human owners
This article has 22 authors:Reviewed by ScreenIT
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Continued need for non-pharmaceutical interventions after COVID-19 vaccination in long-term-care facilities
This article has 8 authors:Reviewed by ScreenIT
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Genetic variants in TMPRSS2 and Structure of SARS-CoV-2 spike glycoprotein and TMPRSS2 complex
This article has 8 authors:Reviewed by ScreenIT
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Mental health impact of the first wave of COVID-19 pandemic on Spanish healthcare workers: A large cross-sectional survey
This article has 32 authors:Reviewed by ScreenIT
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Estimating the risk of 2019 Novel Coronavirus death during the course of the outbreak in China, 2020
This article has 2 authors:Reviewed by ScreenIT