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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The effects of the first national lockdown in England on geographical inequalities in the evolution of COVID-19 case rates: An ecological study
This article has 4 authors:Reviewed by ScreenIT
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COVID-19: a study about the impact of coronavirus on physicians of La Plata, Argentina
This article has 4 authors:Reviewed by ScreenIT
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Safety Assessment of BNT162b2 Vaccine in Adolescents Aged 12-15 Years
This article has 4 authors:Reviewed by ScreenIT
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Parents’ intention to vaccinate their 5- to 11-year-old children with the COVID-19 vaccine: rates, predictors and the role of incentives
This article has 1 author:Reviewed by ScreenIT
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Unexposed populations and potential COVID-19 hospitalisations and deaths in European countries as per data up to 21 November 2021
This article has 7 authors:Reviewed by ScreenIT
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Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study
This article has 10 authors:Reviewed by ScreenIT
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Validation of a rapid, saliva-based, and ultra-sensitive SARS-CoV-2 screening system for pandemic-scale infection surveillance
This article has 10 authors:Reviewed by ScreenIT
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De novo emergence of a remdesivir resistance mutation during treatment of persistent SARS-CoV-2 infection in an immunocompromised patient: a case report
This article has 23 authors:Reviewed by ScreenIT
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Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics
This article has 6 authors:Reviewed by ScreenIT
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Ad26.COV2.S breakthrough infections induce high titers of neutralizing antibodies against Omicron and other SARS-CoV-2 variants of concern
This article has 25 authors:Reviewed by ScreenIT