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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Using Best-Worst Scaling to investigate younger adult Canadians’ preferences for COVID-19 vaccination and public health measures: An observational study
This article has 7 authors:Reviewed by ScreenIT
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Omicron Booster in Ancestral Strain Vaccinated Mice Augments Protective Immunities Against Both Delta and Omicron Variants
This article has 9 authors:Reviewed by ScreenIT
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The efficacy, effectiveness and safety of SARS-CoV-2 disinfection methods (including ozone machines) in educational settings for children and young people
This article has 8 authors:Reviewed by ScreenIT
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A role for Nucleocapsid-specific antibody function in Covid-19 Convalescent plasma therapy
This article has 19 authors:Reviewed by ScreenIT
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Discovery and functional interrogation of SARS-CoV-2 protein-RNA interactions
This article has 27 authors:Reviewed by ScreenIT
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Tackling the first COVID-19 wave at the Cape Town Hospital of Hope: Why was it such a positive experience for staff?
This article has 7 authors:Reviewed by ScreenIT
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A Single Dose of the Deactivated Rabies-Virus Vectored COVID-19 Vaccine, CORAVAX, Is Highly Efficacious and Alleviates Lung Inflammation in the Hamster Model
This article has 9 authors:Reviewed by ScreenIT
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Childhood Trauma Exposure Increases Long COVID Risk
This article has 6 authors:Reviewed by ScreenIT
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An inactivated SARS-CoV-2 vaccine is safe and induces humoral and cellular immunity against virus variants in healthy children and adolescents in Chile
This article has 54 authors:Reviewed by ScreenIT
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Effectiveness of Covid-19 vaccines against symptomatic and asymptomatic SARS-CoV-2 infections in an urgent care setting
This article has 6 authors:Reviewed by ScreenIT