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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SARS-CoV-2 wildlife surveillance in Ontario and Québec
This article has 21 authors:Reviewed by ScreenIT
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T cell receptor repertoire signatures associated with COVID-19 severity
This article has 4 authors: -
Assessment of correlations between risk factors and symptom presentation among defined at-risk groups following a confirmed COVID-19 diagnosis
This article has 2 authors:Reviewed by ScreenIT
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Broad human and animal coronavirus neutralisation by SARS-CoV-2 S2-targeted vaccination
This article has 21 authors:Reviewed by ScreenIT
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Genetic and Clinical Characteristics of Patients in the Middle East With Multisystem Inflammatory Syndrome in Children
This article has 25 authors:Reviewed by ScreenIT
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Evaluating COVID-19 Booster Vaccination Strategies in a Partially Vaccinated Population: A Modeling Study
This article has 4 authors:Reviewed by ScreenIT
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TREATMENT COSTS FOR COVID-19 PATIENTS IN A TERTIARY HOSPITAL FROM SERBIA
This article has 14 authors:Reviewed by ScreenIT
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Third COVID-19 vaccine dose boosts neutralizing antibodies in poor responders
This article has 12 authors:Reviewed by ScreenIT
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Direct lysis RT-qPCR of SARS-CoV-2 in cell culture supernatant allows for fast and accurate quantification of virus, opening a vast array of applications
This article has 7 authors:Reviewed by ScreenIT
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Internal Tremors and Vibration Symptoms Among People with Post-Acute Sequelae of SARS-CoV-2: A narrative review of patient reports
This article has 10 authors:Reviewed by ScreenIT