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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Developing services for long COVID: lessons from a study of wounded healers
This article has 7 authors:Reviewed by ScreenIT
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Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks
This article has 6 authors:Reviewed by ScreenIT
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6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records
This article has 5 authors:Reviewed by ScreenIT
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COVID-19 outbreak in Mauritius: Logistic growth and SEIR modelling with quarantine and an effective reproduction number
This article has 4 authors:Reviewed by ScreenIT
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A logistic model of CoV-2 propagation
This article has 1 author:Reviewed by ScreenIT
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Mapping of SARS-CoV-2 Brain Invasion and Histopathology in COVID-19 Disease
This article has 38 authors:Reviewed by ScreenIT
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Association of Homelessness with COVID-19 Positivity among Individuals Visiting a Testing Centre: A Cross-Sectional Study
This article has 8 authors:Reviewed by ScreenIT
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Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns
This article has 8 authors:Reviewed by ScreenIT
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Baseline phenotype and 30-day outcomes of people tested for COVID-19: an international network cohort including >3.32 million people tested with real-time PCR and >219,000 tested positive for SARS-CoV-2 in South Korea, Spain and the United States
This article has 53 authors:Reviewed by ScreenIT
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Structural basis for repurpose and design of nucleoside drugs for treating COVID-19
This article has 25 authors:Reviewed by ScreenIT