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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Demographic Analysis of Mutations in Indian SARS-CoV-2 Isolates
This article has 2 authors: -
A Systematic Review of Coronavirus Disease 2019 Vaccine Efficacy and Effectiveness Against Severe Acute Respiratory Syndrome Coronavirus 2 Infection and Disease
This article has 13 authors:Reviewed by ScreenIT
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Real-world Impact of 2-dose SARS-CoV-2 Vaccination in Kidney Transplant Recipients
This article has 6 authors:Reviewed by ScreenIT
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Two doses of the mRNA BNT162b2 vaccine reduce severe outcomes, viral load and secondary attack rate: evidence from a SARS-CoV-2 Alpha outbreak in a nursing home in Germany, January-March 2021
This article has 8 authors:Reviewed by ScreenIT
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Potential COVID-19 vaccination opportunities in primary care practices in the United States
This article has 6 authors:Reviewed by ScreenIT
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Gene networks under circadian control exhibit diurnal organization in primate organs
This article has 4 authors:Reviewed by ScreenIT
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PCR test positive rate revealing the real infection epidemic status examined in the COVID-19 epidemic in Tokyo, Japan
This article has 1 author:Reviewed by ScreenIT
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Real-world serological responses to extended-interval and heterologous COVID-19 mRNA vaccination in frail, older people (UNCoVER): an interim report from a prospective observational cohort study
This article has 22 authors:Reviewed by ScreenIT
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Toward Using Twitter Data to Monitor COVID-19 Vaccine Safety in Pregnancy: Proof-of-Concept Study of Cohort Identification
This article has 3 authors:Reviewed by ScreenIT
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Alterations in CD39/CD73 axis of T cells associated with COVID‐19 severity
This article has 15 authors:Reviewed by ScreenIT