Visualization analysis for radiomics research based on knowledge mapping.
10.11817/j.issn.1672-7347.2019.03.002
- Author:
Aijing LUO
1
,
2
;
Shanhu YAO
1
,
3
,
4
;
Zhichao FENG
5
;
Pengfei RONG
5
;
Yuexiang QIN
5
;
Wei WANG
1
,
2
Author Information
1. Third Xiangya Hospital, Central South University, Changsha 410013
2. Key Laboratory of Medical Information Research (Central South University), College of Hunan Province, Changsha 410013, China.
3. Key Laboratory of Medical Information Research (Central South University), College of Hunan Province, Changsha 410013
4. Research Institute of Information Security and Big Data, Central South University, Changsha 410083, China.
5. Third Xiangya Hospital, Central South University, Changsha 410013, China.
- Publication Type:Journal Article
- MeSH:
China;
Cluster Analysis
- From:
Journal of Central South University(Medical Sciences)
2019;44(3):233-243
- CountryChina
- Language:Chinese
-
Abstract:
To illustrate the literature distribution, research power distribution, and research hotspots in the radiomics research by using knowledge mapping analysis, and to provide reference for relevant researchers.
Methods: Bibliographies from literature regarding radiomics in Web of Science database were downloaded. BICOM 2.0.1 and SATI 3.2 were used to clean and caculate the frequency of publication year, journal, author, key word, and research institution. CiteSpace V4.4.R1 was used to build the knowledge map of scientific research collaboration network between countries/regions.Ucinet 6 was used to build the knowledge map of scientific research collaboration network between core authors and institutions. gCLUTO 1.0 was applied to construct high-frequency keywords bi-clustering map.
Results: A total of 700 literature was screened. Since 2012 the number of publications has been growing rapidly year by year. The United States, China, and Netherlands were leaders in this field. There were 5 major scientific research institution cooperative groups and 10 major author cooperative groups. Eight research hotspots were clustered by using high-frequency key word bi-clustering analysis.
Conclusion: Radiomics is a new field and develops very fast. More and more countries, research institutions, and researchers with multidisciplinary background are going to participate in this filed. New terminology and new methods are going to appear in the field.
