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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Activity of convalescent and vaccine serum against a B.1.1.529 variant SARS-CoV-2 isolate
This article has 18 authors:Reviewed by ScreenIT
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Analysis of Worldwide Time-Series Data Reveals Some Universal Patterns of Evolution of the SARS-CoV-2 Pandemic
This article has 3 authors:Reviewed by ScreenIT
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Paediatric hospitalisations due to COVID-19 during the first SARS-CoV-2 omicron (B.1.1.529) variant wave in South Africa: a multicentre observational study
This article has 12 authors:Reviewed by ScreenIT
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Real-world clinical outcomes of treatment with casirivimab-imdevimab among patients with mild-to-moderate coronavirus disease 2019 during the Delta variant pandemic
This article has 49 authors:Reviewed by ScreenIT
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Safety evaluation of the single-dose Ad26.COV2.S vaccine among healthcare workers in the Sisonke study in South Africa: A phase 3b implementation trial
This article has 28 authors:Reviewed by ScreenIT
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Binding and neutralizing antibody responses to SARS-CoV-2 in very young children exceed those in adults
This article has 9 authors:Reviewed by ScreenIT
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Outpatient Therapies for COVID-19: How Do We Choose?
This article has 5 authors:Reviewed by ScreenIT
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Orthostatic Intolerance in Adults Reporting Long COVID Symptoms Was Not Associated With Postural Orthostatic Tachycardia Syndrome
This article has 6 authors:Reviewed by ScreenIT
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Time Between Viral Loads for People With HIV During the COVID-19 Pandemic
This article has 10 authors:Reviewed by ScreenIT
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Systematic review of spontaneous reports of myocarditis and pericarditis in transplant recipients and immunocompromised patients following COVID-19 mRNA vaccination
This article has 3 authors:Reviewed by ScreenIT