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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Efficacy and safety of hydroxychloroquine as pre-and post-exposure prophylaxis and treatment of COVID-19: A systematic review and meta-analysis of blinded, placebo-controlled, randomized clinical trials.
This article has 5 authors:Reviewed by ScreenIT
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Readability of COVID-19 vaccine information for the general public
This article has 3 authors:Reviewed by ScreenIT
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Protective Efficacy of Rhesus Adenovirus COVID-19 Vaccines against Mouse-Adapted SARS-CoV-2
This article has 17 authors:Reviewed by ScreenIT
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Metrics to relate COVID-19 wastewater data to clinical testing dynamics
This article has 23 authors:Reviewed by ScreenIT
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Double-stranded RNA drives SARS-CoV-2 nucleocapsid protein to undergo phase separation at specific temperatures
This article has 16 authors:Reviewed by ScreenIT
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High efficacy of therapeutic equine hyperimmune antibodies against SARS-CoV-2 variants of concern
This article has 31 authors:Reviewed by ScreenIT
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Coupling freedom from disease principles and early warning from wastewater surveillance to improve health security
This article has 12 authors:Reviewed by ScreenIT
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Humoral response to BNT162b2 mRNA COVID ‐19 vaccine in peritoneal and hemodialysis patients: A comparative study
This article has 8 authors:Reviewed by ScreenIT
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Impact of tozinameran (BNT162b2) mRNA vaccine on kidney transplant and chronic dialysis patients: 3–5 months follow-up
This article has 18 authors:Reviewed by ScreenIT
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Antibody response after a single dose of ChAdOx1-nCOV (Covishield™®) vaccine in subjects with prior SARS-CoV2 infection: Is a single dose sufficient?
This article has 5 authors:Reviewed by ScreenIT