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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Dynamic Profiling of Binding and Allosteric Propensities of the SARS-CoV-2 Spike Protein with Different Classes of Antibodies: Mutational and Perturbation-Based Scanning Reveals the Allosteric Duality of Functionally Adaptable Hotspots
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2 spike D614G change enhances replication and transmission
This article has 35 authors:Reviewed by ScreenIT
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Nasal delivery of single-domain antibody improves symptoms of SARS-CoV-2 infection in an animal model
This article has 20 authors:Reviewed by ScreenIT
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Post‑COVID‑19 Syndrome in Outpatients: a Cohort Study
This article has 24 authors:Reviewed by ScreenIT
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Role of non-aerosols activities in the transmission of SARS-Cov-2 infection among health care workers
This article has 10 authors:Reviewed by ScreenIT
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Enhanced immunogenicity of a synthetic DNA vaccine expressing consensus SARS-CoV-2 Spike protein using needle-free immunization
This article has 12 authors:Reviewed by ScreenIT
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International attitudes on COVID-19 vaccination: repeat national cross-sectional surveys across 15 countries
This article has 9 authors:Reviewed by ScreenIT
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Intensity of COVID-19 in care homes following hospital discharge in the early stages of the UK epidemic
This article has 11 authors:Reviewed by ScreenIT
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Cutting Edge: Nucleocapsid Vaccine Elicits Spike-Independent SARS-CoV-2 Protective Immunity
This article has 20 authors:Reviewed by ScreenIT
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Changes in HIV treatment differentiated care uptake during the COVID‐19 pandemic in Zambia: interrupted time series analysis
This article has 11 authors:Reviewed by ScreenIT