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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Factors influencing wellbeing in young people during COVID-19: A survey with 6291 young people in Wales
This article has 8 authors:Reviewed by ScreenIT
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Mental health impacts of the COVID-19 pandemic on children and adolescents with chronic health conditions
This article has 17 authors:Reviewed by ScreenIT
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Induction of cross-reactive antibody responses against the RBD domain of the spike protein of SARS-CoV-2 by commensal microbiota
This article has 31 authors:Reviewed by ScreenIT
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Limited genomic reconstruction of SARS-CoV-2 transmission history within local epidemiological clusters
This article has 13 authors:Reviewed by ScreenIT
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The Role of Incentives in Deciding to Receive the Available COVID-19 Vaccine in Israel
This article has 1 author:Reviewed by ScreenIT
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Neutrophilic inflammation promotes SARS-CoV-2 infectivity and augments the inflammatory responses in airway epithelial cells
This article has 10 authors:Reviewed by ScreenIT
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C910 chemical compound inhibits the traffiking of several bacterial AB toxins with cross-protection against influenza virus
This article has 32 authors:Reviewed by ScreenIT
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Harmony COVID-19: A ready-to-use kit, low-cost detector, and smartphone app for point-of-care SARS-CoV-2 RNA detection
This article has 17 authors:Reviewed by ScreenIT
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Performance of a rapid antigen test for SARS-CoV-2 in Kenya
This article has 15 authors:Reviewed by ScreenIT
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Efficacy and Safety of Ayurveda Intervention (AYUSH 64) as add-on therapy for patients with COVID-19 infections – An open labelled, Parallel Group, Randomized controlled clinical trial
This article has 16 authors:Reviewed by ScreenIT