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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The evolutionary history of ACE2 usage within the coronavirus subgenus Sarbecovirus
This article has 19 authors:Reviewed by ScreenIT
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WICID framework version 1.0: criteria and considerations to guide evidence-informed decision-making on non-pharmacological interventions targeting COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Implementing a negative pressure isolation space within a skilled nursing facility to control SARS-CoV-2 transmission
This article has 5 authors:Reviewed by ScreenIT
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Characterization of Prolonged COVID-19 Symptoms in an Outpatient Telemedicine Clinic
This article has 2 authors:Reviewed by ScreenIT
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Characteristics and outcomes of acute respiratory distress syndrome related to COVID-19 in Belgian and French intensive care units according to antiviral strategies: the COVADIS multicentre observational study
This article has 45 authors:Reviewed by ScreenIT
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COVID-19-Related Social Media Fake News in India
This article has 1 author:Reviewed by ScreenIT
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Organization of primary health care in pandemics
This article has 4 authors:Reviewed by ScreenIT
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Initial characterisation of commercially available ELISA tests and the immune response of the clinically correlated SARS-CoV-2 biobank “SERO-BL-COVID-19” collected during the pandemic onset in Switzerland
This article has 27 authors:Reviewed by ScreenIT
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Are men dying more than women by COVID-19?
This article has 3 authors:Reviewed by ScreenIT
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The Global and Local Distribution of RNA Structure throughout the SARS-CoV-2 Genome
This article has 5 authors:Reviewed by ScreenIT