Cancer publications using real-world data from the Taiwan National Health Insurance Research Database: Conceptual framework and bibliometric analysis
Beyond citation metrics, our research underscores the importance of considering study-based and disease-based components in bibliometric analysis. These components form the foundation of the real-world data cancer research framework and have practical implications for diseases beyond cancers, providing a broader perspective for researchers and practitioners.
Authors
- Ai Yin Lim
- Jia‐Rou Liu (ORCID: https://orcid.org/0000-0003-0064-0385)
- Shu‐Hao Chang (ORCID: https://orcid.org/0000-0002-3427-6035)
- Lai‐Chu See (ORCID: https://orcid.org/0000-0002-1379-8969)
- Pei‐Ru Li (ORCID: https://orcid.org/0000-0001-7744-0555)
- Wing Hin Stanford Siu (ORCID: https://orcid.org/0000-0003-2876-219X)
- Wei‐Min Chen (ORCID: https://orcid.org/0000-0002-0292-7841)
Institutions
- Chang Gung University (TW)
- Chang Gung Memorial Hospital (TW)
Publication Details
- Journal
- Journal of the Chinese Medical Association
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1097/jcma.0000000000001227
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00