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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This article has 7 authors:
Reviewed by ScreenIT
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Quantitative SARS-CoV-2 Alpha Variant B.1.1.7 Tracking in Wastewater by Allele-Specific RT-qPCR
This article has 22 authors:Reviewed by ScreenIT
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Exploring causal relationships between COVID-19 and cardiometabolic disorders: A bi-directional Mendelian randomization study
This article has 5 authors:Reviewed by ScreenIT
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Neurological manifestations of patients with mild-to-moderate COVID-19 attending a public hospital in Lima, Peru
This article has 4 authors:Reviewed by ScreenIT
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Use of smartphone mobility data to analyze city park visits during the COVID-19 pandemic
This article has 6 authors:Reviewed by ScreenIT
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A General Computational Framework for COVID-19 Modelling with Applications to Testing Varied Interventions in Education Environments
This article has 5 authors:Reviewed by ScreenIT
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Risk of Reinfection After Seroconversion to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): A Population-based Propensity-score Matched Cohort Study
This article has 84 authors:Reviewed by ScreenIT
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Generation of a novel SARS-CoV-2 sub-genomic RNA due to the R203K/G204R variant in nucleocapsid: homologous recombination has potential to change SARS-CoV-2 at both protein and RNA level
This article has 21 authors:Reviewed by ScreenIT
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Detecting SARS-CoV-2 lineages and mutational load in municipal wastewater and a use-case in the metropolitan area of Thessaloniki, Greece
This article has 18 authors:Reviewed by ScreenIT
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A common TMPRSS2 variant has a protective effect against severe COVID-19
This article has 13 authors:Reviewed by ScreenIT