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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Beyond Spike: Identification of nine highly prevalent SARS-CoV-2-specific CD8 T-cell epitopes in a large Norwegian cohort
This article has 20 authors:Reviewed by ScreenIT
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The Effect of Circulating Zinc, Selenium, Copper and Vitamin K1 on COVID-19 Outcomes: A Mendelian Randomization Study
This article has 2 authors:Reviewed by ScreenIT
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Excess risk and clusters of symptoms after COVID-19 in a large Norwegian cohort
This article has 3 authors:Reviewed by ScreenIT
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Boosting of SARS-CoV-2 immunity in nonhuman primates using an oral rhabdoviral vaccine
This article has 30 authors:Reviewed by ScreenIT
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Enhanced metanephric specification to functional proximal tubule enables toxicity screening and infectious disease modelling in kidney organoids
This article has 12 authors:Reviewed by ScreenIT
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Evaluation of Viral Loads in Patients With SARS-CoV-2 Delta Variant Infection: Higher Loads Do Not Translate Into Different Testing Scenarios
This article has 5 authors:Reviewed by ScreenIT
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The SARS-CoV-2 Infection Among Students in the University of Porto: A Cross-Sectional Study
This article has 7 authors:Reviewed by ScreenIT
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Variable Inhibition of DNA Unwinding Rates Catalyzed by the SARS-CoV-2 Helicase Nsp13 by Structurally Distinct Single DNA Lesions
This article has 8 authors:Reviewed by ScreenIT
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Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis
This article has 8 authors:Reviewed by ScreenIT
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Interactions among common non‐SARS‐CoV‐2 respiratory viruses and influence of the COVID‐19 pandemic on their circulation in New York City
This article has 3 authors:Reviewed by ScreenIT