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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SARS-CoV-2 Transmission Potential and Policy Changes in South Carolina, February 2020 – January 2021
This article has 10 authors:Reviewed by ScreenIT
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In COVID-19, NLRP3 inflammasome genetic variants are associated with critical disease and these effects are partly mediated by the sickness symptom complex: a nomothetic network approach
This article has 10 authors:Reviewed by ScreenIT
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Non-pharmaceutical interventions and covid-19 burden in the United States: retrospective, observational cohort study
This article has 6 authors:Reviewed by ScreenIT
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Large-scale seroepidemiologic surveillance of COVID-19 - Cross-sectional study in Hyogo prefecture of Japan in August, 2021
This article has 18 authors:Reviewed by ScreenIT
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Milk casein prevents inactivation effect of black tea galloylated theaflavins on SARS-CoV-2 in vitro
This article has 8 authors:Reviewed by ScreenIT
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Changes in dispensing of medicines proposed for re-purposing in the first year of the COVID-19 pandemic in Australia
This article has 5 authors:Reviewed by ScreenIT
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Modeling of COVID-19 Transmission Dynamics on US Population: Inter-transfer Infection in Age Groups, Mutant Variants and Vaccination Strategies
This article has 4 authors:Reviewed by ScreenIT
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This article has 5 authors:
Reviewed by ScreenIT
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Antibody responses against SARS-CoV-2 variants induced by four different SARS-CoV-2 vaccines in health care workers in the Netherlands: A prospective cohort study
This article has 27 authors:Reviewed by ScreenIT
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Effectivenessof the mRNA BNT162b2 vaccine against SARS-CoV-2 severeinfections in the Israeli over 60 population: a temporal analysis done byusing the national surveillance data.
This article has 2 authors:Reviewed by ScreenIT