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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Is the Infection of the SARS-CoV-2 Delta Variant Associated With the Outcomes of COVID-19 Patients?
This article has 35 authors:Reviewed by ScreenIT
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Comparison of antibody immune responses between BNT162b2 and mRNA-1273 SARS-CoV-2 vaccines in naïve and previously infected individuals
This article has 10 authors:Reviewed by ScreenIT
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Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis
This article has 10 authors:Reviewed by ScreenIT
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Assessment of Post COVID-19 Health Problems and its Determinants in North India: A descriptive cross section study
This article has 18 authors:Reviewed by ScreenIT
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Postvaccination SARS‐CoV‐2 infection among healthcare workers: A systematic review and meta‐analysis
This article has 7 authors:Reviewed by ScreenIT
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Comparative transmissibility of SARS-CoV-2 variants Delta and Alpha in New England, USA
This article has 120 authors:Reviewed by ScreenIT
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Genetic risk factors and COVID-19 severity in Brazil: results from BRACOVID study
This article has 13 authors:Reviewed by ScreenIT
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Higher hospitalization and mortality rates among SARS‐CoV‐2‐infected persons in rural America
This article has 14 authors:Reviewed by ScreenIT
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Inactivated Poliovirus Vaccine Induces Antibodies that Inhibit RNA Synthesis of SARS-CoV-2: An open-label, pre-post vaccine clinical trial
This article has 10 authors:Reviewed by ScreenIT
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Monitoring sociodemographic inequality in COVID-19 vaccination uptake in England: a national linked data study
This article has 8 authors:Reviewed by ScreenIT