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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Masking significantly reduces, but does not eliminate COVID-19 infection in a spatial agent-based simulation of a University dormitory floor
This article has 2 authors:Reviewed by ScreenIT
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Correlates of COVID-19 Vaccine Acceptance, Hesitancy and Refusal among Employees of a Safety Net California County Health System with an Early and Aggressive Vaccination Program: Results from a Cross-Sectional Survey
This article has 10 authors:Reviewed by ScreenIT
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COVID-19 Vaccination and Healthcare Demand
This article has 6 authors:Reviewed by ScreenIT
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Multiple sclerosis therapies differentially affect SARS-CoV-2 vaccine–induced antibody and T cell immunity and function
This article has 20 authors:Reviewed by ScreenIT
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Measuring infectious SARS-CoV-2 in clinical samples reveals a higher viral titer:RNA ratio for Delta and Epsilon vs. Alpha variants
This article has 9 authors: -
Altered fibrin clot structure and dysregulated fibrinolysis contribute to thrombosis risk in severe COVID-19
This article has 25 authors:Reviewed by ScreenIT
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3D virtual histopathology of cardiac tissue from Covid-19 patients based on phase-contrast X-ray tomography
This article has 11 authors:This article has been curated by 1 group: -
Genetically diverse mouse models of SARS-CoV-2 infection reproduce clinical variation in type I interferon and cytokine responses in COVID-19
This article has 29 authors:Reviewed by ScreenIT
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ZRC3308 monoclonal antibody cocktail shows protective efficacy in Syrian hamsters against SARS-CoV-2 infection
This article has 17 authors:Reviewed by ScreenIT
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Sex differences in cardio-pulmonary pathology of SARS-CoV2 infected and Trypanosoma cruzi co-infected mice
This article has 7 authors:Reviewed by ScreenIT