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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Prevalence of SARS-CoV-2 Infection Among COVID-19 Reverse Transcription-Polymerase Chain Reaction (RT-PCR) Laboratory Workers in Bangladesh
This article has 10 authors:Reviewed by ScreenIT
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Can 10× cheaper, lower-efficiency particulate air filters and box fans complement High-Efficiency Particulate Air (HEPA) purifiers to help control the COVID-19 pandemic?
This article has 1 author:Reviewed by ScreenIT
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Disruptions in Care: Consequences of the COVID-19 Pandemic in a Children’s Hospital
This article has 14 authors:Reviewed by ScreenIT
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Omicron and Delta variant of SARS‐CoV‐2: A comparative computational study of spike protein
This article has 4 authors:Reviewed by ScreenIT
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Longitudinal Study of DNA Methylation and Epigenetic Clocks Prior to and Following Test-Confirmed COVID-19 and mRNA Vaccination
This article has 13 authors:Reviewed by ScreenIT
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Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction for COVID-19 Patients
This article has 9 authors:Reviewed by ScreenIT
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Healthcare worker risk of COVID-19: A 20-month analysis of protective measures from vaccination and beyond
This article has 9 authors:Reviewed by ScreenIT
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The impact of the COVID-19 pandemic on children with medical complexity
This article has 12 authors:Reviewed by ScreenIT
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Durability and Immunogenicity of Neutralizing Antibodies Response Against Omicron Variants After Three Doses of Subunit SARS-CoV-2 Vaccine MVC-COV1901: An Extension to an Open-Label, Dose-Escalation Phase 1 Study
This article has 5 authors:Reviewed by ScreenIT
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A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study
This article has 20 authors:Reviewed by ScreenIT