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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Sub-second heat inactivation of coronavirus
This article has 8 authors:Reviewed by ScreenIT
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Pre-pandemic cognitive function and COVID-19 mortality: prospective cohort study
This article has 3 authors:Reviewed by ScreenIT
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Increased Incidence of Thrombosis in a Cohort of Cancer Patients with COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Changes in Sexual Behavior, PrEP Adherence, and Access to Sexual Health Services Because of the COVID-19 Pandemic Among a Cohort of PrEP-Using MSM in the South
This article has 4 authors:Reviewed by ScreenIT
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Age-Stratified Infection Probabilities Combined With a Quarantine-Modified Model for COVID-19 Needs Assessments: Model Development Study
This article has 4 authors:Reviewed by ScreenIT
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A novel cohort analysis approach to determining the case fatality rate of COVID-19 and other infectious diseases
This article has 1 author:Reviewed by ScreenIT
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Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season
This article has 5 authors:Reviewed by ScreenIT
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Split ventilation with pressure regulators for patient-specific tidal volumes
This article has 5 authors:Reviewed by ScreenIT
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An optimized stepwise algorithm combining rapid antigen and RT-qPCR for screening of COVID-19 patients
This article has 13 authors:Reviewed by ScreenIT
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Estimating the spreading and dominance of SARS-CoV-2 VOC 202012/01 (lineage B.1.1.7) across Europe
This article has 8 authors:Reviewed by ScreenIT