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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Note: Forecasting COVID-19 spread in Lebanon February 8-21,2021
This article has 2 authors:Reviewed by ScreenIT
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Explaining COVID-19 outbreaks with reactive SEIRD models
This article has 4 authors:Reviewed by ScreenIT
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S-Gene Target Failure as a Marker of Variant B.1.1.7 Among SARS-CoV-2 Isolates in the Greater Toronto Area, December 2020 to March 2021
This article has 7 authors:Reviewed by ScreenIT
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Emerging SARS-CoV-2 Lineages in Middle Eastern Jordan with Increasing Mutations Near Antibody Recognition Sites
This article has 3 authors:Reviewed by ScreenIT
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Survey of symptoms following COVID-19 vaccination in India
This article has 3 authors:Reviewed by ScreenIT
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Results of an early second PCR test performed on SARS-CoV-2 positive patients may support risk assessment for severe COVID-19
This article has 10 authors:Reviewed by ScreenIT
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Covaxin (BBV152) Vaccine Neutralizes SARS-CoV-2 Delta and Omicron variants
This article has 3 authors:Reviewed by ScreenIT
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Positive Attribute Framing Increases COVID-19 Booster Vaccine Intention for Unfamiliar Vaccines
This article has 2 authors:Reviewed by ScreenIT
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Effectiveness of a SARS-CoV-2 mRNA vaccine booster dose for prevention of infection, hospitalization or death in two nation-wide nursing home systems
This article has 14 authors:Reviewed by ScreenIT
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SARS-CoV-2 seroprevalence in children, parents and school personnel from June 2020 to April 2021: cohort study of 55 schools in Switzerland
This article has 6 authors:Reviewed by ScreenIT