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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Minority and Rural Coronavirus Insights Study (MRCIS): The Need for Targeted SARS CoV-2 Vaccination Efforts in Minority Populations
This article has 13 authors:Reviewed by ScreenIT
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A twelve-month projection to September 2022 of the Covid-19 epidemic in the UK using a Dynamic Causal Model
This article has 2 authors:Reviewed by ScreenIT
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Using sero-epidemiology to monitor disparities in vaccination and infection with SARS-CoV-2
This article has 15 authors:Reviewed by ScreenIT
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Clinical Utility of Elecsys Anti-SARS-CoV-2 S Assay in COVID-19 Vaccination: An Exploratory Analysis of the mRNA-1273 Phase 1 Trial
This article has 8 authors:Reviewed by ScreenIT
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Characterizing the effective reproduction number during the COVID-19 pandemic: Insights from Qatar’s experience
This article has 23 authors:Reviewed by ScreenIT
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Plasmonic LAMP: Improving the Detection Specificity and Sensitivity for SARS‐CoV‐2 by Plasmonic Sensing of Isothermally Amplified Nucleic Acids
This article has 7 authors:Reviewed by ScreenIT
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Comparison of safety and immunogenicity of CoronaVac and ChAdOx1 against the SARS-CoV-2 circulating variants of concern (Alpha, Delta, Beta) in Thai healthcare workers
This article has 12 authors:Reviewed by ScreenIT
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Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach
This article has 7 authors:Reviewed by ScreenIT
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High-Throughput Activity Assay for Screening Inhibitors of the SARS-CoV-2 Mac1 Macrodomain
This article has 17 authors:Reviewed by ScreenIT
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Cutting Edge: Serum but Not Mucosal Antibody Responses Are Associated with Pre-Existing SARS-CoV-2 Spike Cross-Reactive CD4+ T Cells following BNT162b2 Vaccination in the Elderly
This article has 18 authors:Reviewed by ScreenIT