Visualization analysis of research hotspots based on CiteSpace II: taking medical devices as an example

Abstract

Biomedical engineering has been one of the hottest fields in biology and engineering. As an important branch, the medical device has achieved significant progress in the past decades. As a useful method in evaluative bibliometrics, mapping knowledge has been used to explore the trend of one field. In the present study, we retrieve literatures about the medical device from the Web of Science™ (2004–2013), and acquire 26,793 related records, then analyze time range, region distribution, and main research directions of the literatures, and try to use keywords combined with mapping knowledge to explore the main trends of the medical device, and then aim to provide more information for medical device research. Through the study, we discover: 1) the publications regarding medical devices show an upward trend over the past decade in general; 2) the percentage of publications in the USA (38.49%) is the highest all over the world; 3) engineering (20.64%) is the hottest research direction, and takes up about one-fifth of the total publications; 4) the Journal of the American Medical Association and The New England Journal of Medicine are among the two journals that are the most highly cited, followed by Science and The Lancet; and 5) keywords of the medical device include in vitro, quality-of-life, outcomes, management, mortality, depression, and so on. With the help of mapping knowledge, we dig out some hot topics of medical devices and provide more information through trend analysis, and we discover that our findings are related to previous research and further research can enlarge the number of records and optimize the algorithm. We provide a systematic approach for researchers to keep abreast of the development and state of the research of medical devices.

Keywords:

• visualization analysis
• medical device
• CiteSpace
• hotspot

Acknowledgments

This work was supported by a grant from the National Natural Science Foundation of China (No 81371102).

Disclosure

The authors report no conflicts of interest in this work.