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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Site-specific recognition of SARS-CoV-2 nsp1 protein with a tailored titanium dioxide nanoparticle – elucidation of the complex structure using NMR data and theoretical calculation
This article has 6 authors:Reviewed by ScreenIT
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The CCEDRRN COVID-19 Mortality Score to predict death among nonpalliative patients with COVID-19 presenting to emergency departments: a derivation and validation study
This article has 16 authors:Reviewed by ScreenIT
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COVID-19 Disease Severity among People with HIV Infection or Solid Organ Transplant in the United States: A Nationally-representative, Multicenter, Observational Cohort Study
This article has 20 authors:Reviewed by ScreenIT
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SARS-CoV-2 Fears Green: The Chlorophyll Catabolite Pheophorbide A Is a Potent Antiviral
This article has 7 authors:Reviewed by ScreenIT
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The mystery of COVID-19 reinfections: A global systematic review and meta-analysis
This article has 7 authors:Reviewed by ScreenIT
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Increased aerosol transmission for B.1.1.7 (alpha variant) over lineage A variant of SARS-CoV-2
This article has 9 authors:Reviewed by ScreenIT
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Individual Preparedness for Distant Wildfires and the Delta Variant in the United States: A Survey of 2,250 US Residents
This article has 1 author:Reviewed by ScreenIT
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PASCLex: A comprehensive post-acute sequelae of COVID-19 (PASC) symptom lexicon derived from electronic health record clinical notes
This article has 6 authors:Reviewed by ScreenIT
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Estimation of the onset ratio and the number of asymptomatic patients of COVID-19 from the proportion of untraceable patients
This article has 1 author:Reviewed by ScreenIT
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Staffing and Capacity Planning for SARS-CoV-2 Monoclonal Antibody Infusion Facilities: A Performance Estimation Calculator Based on Discrete-Event Simulations
This article has 9 authors:Reviewed by ScreenIT