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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Impact of COVID-19 non-pharmaceutical interventions on pneumococcal carriage prevalence and density in Vietnam
This article has 18 authors:Reviewed by ScreenIT
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Longitudinal analysis reveals elevation then sustained higher expression of autoantibodies for six months after SARS-CoV-2 infection
This article has 15 authors:Reviewed by ScreenIT
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Effective screening strategies for safe opening of universities under Omicron and Delta variants of COVID-19
This article has 4 authors:Reviewed by ScreenIT
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Changes in English medication safety indicators throughout the COVID-19 pandemic: a federated analysis of 57 million patients’ primary care records in situ using OpenSAFELY
This article has 39 authors:Reviewed by ScreenIT
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Reporting rates for VAERS death reports following COVID ‐19 vaccination, December 14, 2020–November 17, 2021
This article has 10 authors:Reviewed by ScreenIT
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“Does a respiratory virus have an ecological niche, and if so, can it be mapped?” Yes and yes
This article has 3 authors:Reviewed by ScreenIT
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ORF6 protein of SARS-CoV-2 inhibits TRIM25 mediated RIG-I ubiquitination to mitigate type I IFN induction
This article has 4 authors:Reviewed by ScreenIT
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Novel ACE2 nanoparticles universally block SARS-CoV-2 variants in the human respiratory tract
This article has 10 authors:Reviewed by ScreenIT
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Deep learning identified genetic variants associated with COVID-19 related mortality
This article has 5 authors:Reviewed by ScreenIT
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STIMULATE-ICP-CAREINEQUAL (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways) study protocol: Defining usual care and examining inequalities in Long Covid support
This article has 17 authors:Reviewed by ScreenIT