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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Impact of small-area lockdowns for the control of the COVID-19 pandemic
This article has 9 authors:Reviewed by ScreenIT
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Airflow and Air Velocity Measurements While Playing Wind Instruments, with Respect to Risk Assessment of a SARS-CoV-2 Infection
This article has 7 authors:Reviewed by ScreenIT
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Efficacy of a “stay-at-home” policy on SARS-CoV-2 transmission in Toronto, Canada: a mathematical modelling study
This article has 18 authors:Reviewed by ScreenIT
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The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19
This article has 23 authors:Reviewed by ScreenIT
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ELISA detection of SARS-CoV-2 antibodies in saliva
This article has 14 authors:Reviewed by ScreenIT
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A two-pronged approach for rapid and high-throughput SARS-CoV-2 nucleic acid testing
This article has 9 authors:Reviewed by ScreenIT
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Can N95 Respirators Be Reused after Disinfection? How Many Times?
This article has 8 authors:Reviewed by ScreenIT
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Outdoor PM2.5 concentration and rate of change in COVID-19 infection in provincial capital cities in China
This article has 10 authors:Reviewed by ScreenIT
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Economic precarity, social isolation, and suicidal ideation during the COVID-19 pandemic
This article has 5 authors:Reviewed by ScreenIT
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CoVaccine HT™ adjuvant potentiates robust immune responses to recombinant SARS-CoV-2 Spike S1 immunisation
This article has 8 authors:Reviewed by ScreenIT