iSchool Capstone

VizioMetrics: Evaluating the Importance of Visual Content in Scientific Literature

Project tags:

data science & visualization

Best in Class Award
Project poster

VizioMetrics is an image search engine and classifier created by researchers at the University of Washington. In order to improve it, we would like to automatically identify a “central figure” in a scientific article in cases when multiple figures are present. We defined “central figure” as a single visualization that encapsulates key aspects of a paper, a graphical summary that captures the content of the article for readers at a single glance. We surveyed 488,590 researchers in biomedical field and found out that for an overwhelming majority of papers their authors were able to identify a single “central figure.”

Project participants:

Lia Kazakova


Bum Mook Oh