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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Controlling Multiple COVID-19 Epidemic Waves: An Insight from a Multi-scale Model Linking the Behaviour Change Dynamics to the Disease Transmission Dynamics
This article has 5 authors:Reviewed by ScreenIT
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Mental health in relation to changes in sleep, exercise, alcohol and diet during the COVID-19 pandemic: examination of four UK cohort studies
This article has 3 authors:Reviewed by ScreenIT
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Disruption of nuclear architecture as a cause of COVID-19 induced anosmia
This article has 14 authors:Reviewed by ScreenIT
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Profound Treg perturbations correlate with COVID-19 severity
This article has 37 authors:Reviewed by ScreenIT
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Evaluation of the SARS-CoV-2 Inactivation Efficacy Associated With Buffers From Three Kits Used on High-Throughput RNA Extraction Platforms
This article has 10 authors:Reviewed by ScreenIT
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Ultrapotent bispecific antibodies neutralize emerging SARS-CoV-2 variants
This article has 40 authors:Reviewed by ScreenIT
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Analysis of the factors affecting the adoption and compliance of the NHS COVID-19 mobile application: a national cross-sectional survey in England
This article has 3 authors:Reviewed by ScreenIT
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Healthcare workers’ perceptions and attitudes towards the UK’s COVID-19 vaccination programme: a rapid qualitative appraisal
This article has 11 authors:Reviewed by ScreenIT
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The impact of the UK’s first COVID-19 lockdown on rates of violence and aggression on psychiatric inpatient wards
This article has 3 authors:Reviewed by ScreenIT
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Transmission characteristics of SARS-CoV-2 variants of concern Rapid Scoping Review
This article has 16 authors:Reviewed by ScreenIT