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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Four doses of the inactivated SARS-CoV-2 vaccine redistribute humoral immune responses away from the Receptor Binding Domain
This article has 14 authors:Reviewed by ScreenIT
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Multiple Introductions of SARS-CoV-2 Alpha and Delta Variants into White-Tailed Deer in Pennsylvania
This article has 16 authors:Reviewed by ScreenIT
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Clinical and Non-clinical Proof of Concept Supporting the Development of RJX As an Adjunct to Standard of Care Against Severe COVID-19
This article has 14 authors:Reviewed by ScreenIT
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The level of liver and renal function biomarker abnormalities among hospitalized COVID-19 patients in Ethiopia
This article has 7 authors:Reviewed by ScreenIT
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Should COVID-specific arrangements for abortion continue? The views of women experiencing abortion in Britain during the pandemic
This article has 10 authors:Reviewed by ScreenIT
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Clinical severity of Omicron sub-lineage BA.2 compared to BA.1 in South Africa
This article has 5 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study
This article has 69 authors:Reviewed by ScreenIT
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Risk of SARS-CoV-2 Reinfection 18 Months After Primary Infection: Population-Level Observational Study
This article has 7 authors:Reviewed by ScreenIT
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Real-time monitoring of the effectiveness of six COVID-19 vaccines in Hungary in 2021 using the screening method
This article has 6 authors:Reviewed by ScreenIT
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Characterizing SARS-CoV-2 transcription of subgenomic and genomic RNAs during early human infection using multiplexed ddPCR
This article has 17 authors:Reviewed by ScreenIT