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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Early effectiveness of BNT162b2 Covid-19 vaccine in preventing SARS-CoV-2 infection in healthcare personnel in six Israeli hospitals (CoVEHPI)
This article has 29 authors:Reviewed by ScreenIT
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Discovery of Highly Potent Fusion Inhibitors with Potential Pan-Coronavirus Activity That Effectively Inhibit Major COVID-19 Variants of Concern (VOCs) in Pseudovirus-Based Assays
This article has 10 authors:Reviewed by ScreenIT
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Combinatorial analysis reveals highly coordinated early-stage immune reactions that predict later antiviral immunity in mild COVID-19 patients
This article has 25 authors:Reviewed by ScreenIT
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Lineage abundance estimation for SARS-CoV-2 in wastewater using transcriptome quantification techniques
This article has 53 authors:Reviewed by ScreenIT
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Subtle immunological differences in mRNA-1273 and BNT162b2 COVID-19 vaccine induced Fc-functional profiles
This article has 20 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Viral loads of Delta-variant SARS-CoV-2 breakthrough infections after vaccination and booster with BNT162b2
This article has 10 authors:Reviewed by ScreenIT
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Estimated Health Outcomes and Costs of COVID-19 Prophylaxis With Monoclonal Antibodies Among Unvaccinated Household Contacts in the US
This article has 4 authors:Reviewed by ScreenIT
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Effects of 105 biological, socioeconomic, behavioural, and environmental factors on the risk of SARS-CoV-2 infection and a severe course of Covid-19: A prospective longitudinal study
This article has 3 authors:Reviewed by ScreenIT
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Structure-guided glyco-engineering of ACE2 for improved potency as soluble SARS-CoV-2 decoy receptor
This article has 16 authors:This article has been curated by 1 group: -
Mapping interindividual dynamics of innate immune response at single-cell resolution
This article has 26 authors:Reviewed by ScreenIT