A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

Qin Jane H.; Wang Jean J.; Ye Fred Y.

doi:10.2478/jdis-2019-0018

Journal of Data and Information Science (Dec 2019)

A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

Qin Jane H.,
Wang Jean J.,
Ye Fred Y.

Affiliations

Qin Jane H.: Jiangsu Key Laboratory of Data Engineering and Knowledge Service, School of Information Management, Nanjing University, Nanjing210023, China
Wang Jean J.: Jiangsu Key Laboratory of Data Engineering and Knowledge Service, School of Information Management, Nanjing University, Nanjing210023, China
Ye Fred Y.: Jiangsu Key Laboratory of Data Engineering and Knowledge Service, School of Information Management, Nanjing University, Nanjing210023, China

DOI: https://doi.org/10.2478/jdis-2019-0018
Journal volume & issue: Vol. 4, no. 4
pp. 13 – 25

Abstract

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To reveal the research hotpots and relationship among three research hot topics in biomedicine, namely CRISPR, i PS (induced Pluripotent Stem) cell and Synthetic biology.

Published in Journal of Data and Information Science

ISSN: 2096-157X (Print); 2543-683X (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://sciendo.com/journal/JDIS

About the journal

Abstract

Keywords