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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Thermal analysis of protein stability and ligand binding in complex media
This article has 2 authors:Reviewed by ScreenIT
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A Mixed-Methods Study of Risk Factors and Experiences of Health Care Workers Tested for the Novel Coronavirus in Canada
This article has 9 authors:Reviewed by ScreenIT
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Tajima D test accurately forecasts Omicron / COVID-19 outbreak
This article has 2 authors:Reviewed by ScreenIT
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Comparison of Saliva and Midturbinate Swabs for Detection of SARS-CoV-2
This article has 7 authors:Reviewed by ScreenIT
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Increased risk of psychiatric sequelae of COVID-19 is highest early in the clinical course
This article has 11 authors:Reviewed by ScreenIT
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Racial and ethnic disparities in maternal mental health during COVID-19
This article has 6 authors:Reviewed by ScreenIT
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The Impact of the COVID-19 Pandemic on Hospital Services for Patients with Cardiac Diseases: A Scoping Review
This article has 6 authors:Reviewed by ScreenIT
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Accessibility of Canadian COVID-19 Testing Locations for People with Disabilities During the Third Wave of the COVID-19 Pandemic
This article has 3 authors:Reviewed by ScreenIT
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Inexpensive and colorimetric RNA detection by E. coli cell-free protein synthesis platform at room temperature
This article has 5 authors:Reviewed by ScreenIT
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Development of Web Application for the Comparison of Segment Variability with Sequence Evolution and Immunogenic Properties for Highly Variable Proteins: An Application to Viruses
This article has 3 authors:Reviewed by ScreenIT