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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Differential Effects of Race/Ethnicity and Social Vulnerability on COVID-19 Positivity, Hospitalization, and Death in the San Francisco Bay Area
This article has 2 authors:Reviewed by ScreenIT
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Suboptimal antibody response against SARS-CoV-2 Omicron variant after third dose of mRNA vaccine in kidney transplant recipients
This article has 14 authors:Reviewed by ScreenIT
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High Sensitivity and NPV for BinaxNOW Rapid Antigen Test in Children at a Mass Testing Site during Prevalent Delta Variant Period
This article has 24 authors:Reviewed by ScreenIT
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Older Adults Mount Less Durable Humoral Responses to Two Doses of COVID-19 mRNA Vaccine but Strong Initial Responses to a Third Dose
This article has 30 authors:Reviewed by ScreenIT
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Heterologous immunization with inactivated vaccine followed by mRNA-booster elicits strong immunity against SARS-CoV-2 Omicron variant
This article has 28 authors:Reviewed by ScreenIT
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A sex-biased imbalance between Tfr, Tph, and atypical B cells determines antibody responses in COVID-19 patients
This article has 15 authors:Reviewed by ScreenIT
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An integrated lab-on-a-chip device for RNA extraction, amplification and CRISPR-Cas12a-assisted detection for COVID-19 screening in resource-limited settings
This article has 10 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Should rapid antigen tests be government funded in Australia? An economic evaluation
This article has 3 authors:Reviewed by ScreenIT
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The Governance of Pandemics in Primary Health Care: The Governance Strategies Adopted by Health Facility Governing Committees in Times of COVID Pandemic in Tanzania
This article has 3 authors:Reviewed by ScreenIT
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Vaccinating Children against COVID-19: Commentary and Mathematical Modeling
This article has 2 authors:Reviewed by ScreenIT