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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Designing an evidence-based Bayesian network for estimating the risk versus benefits of AstraZeneca COVID-19 vaccine
This article has 10 authors:Reviewed by ScreenIT
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Implementation and Extended Evaluation of the Euroimmun Anti-SARS-CoV-2 IgG Assay and Its Contribution to the United Kingdom’s COVID-19 Public Health Response
This article has 27 authors:Reviewed by ScreenIT
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Safety and immunogenicity of a high-dose quadrivalent influenza vaccine administered concomitantly with a third dose of the mRNA-1273 SARS-CoV-2 vaccine in adults aged ≥65 years: a phase 2, randomised, open-label study
This article has 12 authors:Reviewed by ScreenIT
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COVID-19 Patients’ Symptoms: Gastrointestinal Presentations, Comorbidities and Outcomes in a Canadian Hospital Setting
This article has 12 authors:Reviewed by ScreenIT
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Mobility network reveals the impact of spatial vaccination heterogeneity on COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Dampening of the respiratory cytokine storm is promoted by inhaled budesonide in patients with early COVID-19
This article has 10 authors:Reviewed by ScreenIT
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A Novel Indicator for COVID-19 Pandemic Assessment and Comparison
This article has 1 author:Reviewed by ScreenIT
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Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning
This article has 9 authors:Reviewed by ScreenIT
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Kinetics of immune responses to the AZD1222/Covishield vaccine with varying dose intervals in Sri Lankan individuals
This article has 27 authors:Reviewed by ScreenIT
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Detection of SARS-CoV-2 RNA throughout wastewater treatment plants and a modeling approach to understand COVID-19 infection dynamics in Winnipeg, Canada
This article has 5 authors:Reviewed by ScreenIT