Scientific X-ray: Scanning and quantifying the idea evolution of scientific publications

ABSTRACT: The rapid development of modern science nowadays makes it rather challenging to pick out valuable ideas from massive scientific literature. Existing widely-adopted citation-based metrics are not adequate for measuring how well the idea presented by a single publication is developed and whether it is worth following. Here, inspired by traditional X-ray imaging, which returns internal structure imaging of real objects along with corresponding structure analysis, we propose Scientific X-ray, a framework that quantifies the development degree and development potential for any scientific idea through an assembly of ‘X-ray’ scanning, visualization and parsing operated on the citation network associated with a target publication. We pick all 71,431 scientific articles of citation counts over 1,00

SUBMITTER: Li Q 

PROVIDER: S-EPMC9518912 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature