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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Genetic epidemiology of SARS-CoV-2 transmission in renal dialysis units – A high risk community-hospital interface
This article has 42 authors:Reviewed by ScreenIT
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Mechanism of duplex unwinding by coronavirus nsp13 helicases
This article has 9 authors:Reviewed by ScreenIT
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Mid-regional proadrenomedullin (MR-proADM), C-reactive protein (CRP) and other biomarkers in the early identification of disease progression in patients with COVID-19 in the acute NHS setting
This article has 15 authors:Reviewed by ScreenIT
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Companionship for women/birthing people using antenatal and intrapartum care in England during COVID-19: a mixed-methods analysis of national and organisational responses and perspectives
This article has 10 authors:Reviewed by ScreenIT
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Using Google Health Trends to investigate COVID-19 incidence in Africa
This article has 6 authors:Reviewed by ScreenIT
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When can we safely return to normal? A novel method for identifying safe levels of NPIs in the context of COVID-19 vaccinations
This article has 4 authors:Reviewed by ScreenIT
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Discovery of re-purposed drugs that slow SARS-CoV-2 replication in human cells
This article has 7 authors:Reviewed by Review Commons, ScreenIT
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Reportable range of quantitative assays for SARS-CoV-2 antibodies determination: An overlooked issue?
This article has 3 authors:Reviewed by ScreenIT
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Multimeric nanobodies from camelid engineered mice and llamas potently neutralize SARS-CoV-2 variants
This article has 22 authors:Reviewed by ScreenIT
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Ivermectin as a SARS-CoV-2 Pre-Exposure Prophylaxis Method in Healthcare Workers: A Propensity Score-Matched Retrospective Cohort Study
This article has 16 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT