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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Profile of Brazilian inpatients with COVID-19 vaccine breakthrough infection and risk factors for unfavorable outcome
This article has 5 authors:Reviewed by ScreenIT
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A meta-epidemiological assessment of transparency indicators of infectious disease models
This article has 2 authors:Reviewed by ScreenIT
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Heterologous gam-COVID-vac (sputnik V)/mRNA-1273 (moderna) vaccination induces a stronger humoral response than homologous sputnik V in a real-world data analysis
This article has 12 authors:Reviewed by ScreenIT
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Effectiveness of the ChAdOx1 nCoV-19 Coronavirus Vaccine (CovishieldTM) in Preventing SARS-CoV2 Infection, Chennai, Tamil Nadu, India, 2021
This article has 31 authors:Reviewed by ScreenIT
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Introduction and Establishment of SARS-CoV-2 Gamma Variant in New York City in Early 2021
This article has 13 authors:Reviewed by ScreenIT
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Coronavirus Disease 2019 Vaccine Effectiveness Against Severe Acute Respiratory Syndrome Coronavirus 2 Infection in the United States Before the Delta- and Omicron-Associated Surges: A Retrospective Cohort Study of Repeat Blood Donors
This article has 12 authors:Reviewed by ScreenIT
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COVID-19 vaccine coverage among immigrants and refugees in Alberta: a population-based cross-sectional study
This article has 3 authors:Reviewed by ScreenIT
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Seroprevalence, correlates and kinetics of SARS-CoV-2 Nucleocapsid IgG antibody in healthcare workers at a tertiary hospital: A prevaccine census study
This article has 9 authors:Reviewed by ScreenIT
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Rapid displacement of SARS-CoV-2 variants within Japan correlates with cycle threshold values on routine RT-PCR testing
This article has 10 authors:Reviewed by ScreenIT
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Linking Genotype to Phenotype: Further Exploration of Mutations in SARS-CoV-2 Associated with Mild or Severe Outcomes
This article has 7 authors:Reviewed by ScreenIT