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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Outcomes of SARS-CoV-2 omicron infection in residents of long-term care facilities in England (VIVALDI): a prospective, cohort study
This article has 14 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Quantifying post-vaccination protective anti-SARS-CoV-2 IgG antibodies in blood and saliva with a fully automated, high throughput digital immunoassay
This article has 16 authors:Reviewed by ScreenIT
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ESCPE-1 mediates retrograde endosomal sorting of the SARS-CoV-2 host factor Neuropilin-1
This article has 16 authors:Reviewed by ScreenIT
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Sialic acid and fucose residues on the SARS-CoV-2 receptor binding domain modulate IgG reactivity
This article has 6 authors:Reviewed by ScreenIT
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Safety Profile of Sinopharm COVID-19 Vaccine and Breakthrough Infections in Pakistan
This article has 6 authors:Reviewed by ScreenIT
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Microbial GWAS studies revealing combinations of Omicron RBD mutations existed and may contribute to antibody evasion and ACE2 binding
This article has 19 authors:Reviewed by ScreenIT
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Outbreak.info Research Library: a standardized, searchable platform to discover and explore COVID-19 resources
This article has 18 authors:Reviewed by ScreenIT
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mRNA-COVID19 Vaccination Can Be Considered Safe and Tolerable for Frail Patients
This article has 20 authors:Reviewed by ScreenIT
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One vaccine to counter many diseases? Modeling the economics of oral polio vaccine against child mortality and COVID-19
This article has 13 authors:Reviewed by ScreenIT
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Safety and immunogenicity of the Pfizer/BioNTech SARS-CoV-2 mRNA third booster vaccine dose against the BA.1 and BA.2 Omicron variants
This article has 16 authors:Reviewed by ScreenIT