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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Low-Dose Whole-Lung Radiation for COVID-19 Pneumonia
This article has 13 authors:Reviewed by ScreenIT
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Analytical evaluation and critical appraisal of early commercial SARS-CoV-2 immunoassays for routine use in a diagnostic laboratory
This article has 5 authors:Reviewed by ScreenIT
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The impact of non-pharmaceutical interventions on SARS-CoV-2 transmission across 130 countries and territories
This article has 6 authors: -
COVID-19-related disruptions to routine vaccination services in India: a survey of paediatric providers
This article has 11 authors:Reviewed by ScreenIT
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Virus Detection and Identification in Minutes Using Single-Particle Imaging and Deep Learning
This article has 16 authors:Reviewed by ScreenIT
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The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
This article has 16 authors:Reviewed by ScreenIT
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SARS-CoV-2 Infects Human Engineered Heart Tissues and Models COVID-19 Myocarditis
This article has 29 authors:Reviewed by ScreenIT
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What support do frontline workers want? A qualitative study of health and social care workers’ experiences and views of psychosocial support during the COVID-19 pandemic
This article has 7 authors:Reviewed by ScreenIT
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Modelling the impact of contact tracing of symptomatic individuals on the COVID-19 epidemic
This article has 5 authors:Reviewed by ScreenIT
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Public Preferences for Government Response Policies on Outbreak Control
This article has 5 authors:Reviewed by ScreenIT