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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Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment
This article has 14 authors:Reviewed by ScreenIT
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Kinetics of SARS-CoV-2 antibody responses pre-COVID-19 and post-COVID-19 convalescent plasma transfusion in patients with severe respiratory failure: an observational case–control study
This article has 12 authors:Reviewed by ScreenIT
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Investigation of pooling strategies using clinical COVID-19 samples for more efficient diagnostic testing
This article has 5 authors:Reviewed by ScreenIT
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Clinical and Radiological Profiles of COVID-19 Patients with Neurological Symptomatology: A Comparative Study
This article has 13 authors:Reviewed by ScreenIT
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Elucidation of remdesivir cytotoxicity pathways through genome-wide CRISPR-Cas9 screening and transcriptomics
This article has 20 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Whether Early Steroid dose is Associated with Lower Mortality in COVID-19 Critically Ill Patients-An Exploratory Chart Review
This article has 8 authors:Reviewed by ScreenIT
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A SARS-CoV-2 antibody curbs viral nucleocapsid protein-induced complement hyperactivation
This article has 20 authors:Reviewed by ScreenIT
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Mental and Social Health of Children and Adolescents With Pre-existing Mental or Somatic Problems During the COVID-19 Pandemic Lockdown
This article has 18 authors:Reviewed by ScreenIT
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High seroprevalence but short‐lived immune response to SARS‐CoV‐2 infection in Paris
This article has 25 authors:Reviewed by ScreenIT
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UVA radiation could be a significant contributor to sunlight inactivation of SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT