Mapping the knowledge structure of research on patient adherence: Knowledge domain visualization based co-word analysis and social network analysis

Juan Zhang; Jun Xie; Wanli Hou; Xiaochen Tu; Jing Xu; Fujian Song; Zhihong Wang; Zuxun Lu

doi:10.1371/journal.pone.0034497

Mapping the knowledge structure of research on patient adherence: Knowledge domain visualization based co-word analysis and social network analysis

Juan Zhang, Jun Xie, Wanli Hou, Xiaochen Tu, Jing Xu, Fujian Song, Zhihong Wang, Zuxun Lu

Research output: Contribution to journal › Article › peer-review

128 Citations (Scopus)

Abstract

Patient adherence is an important issue for health service providers and health researchers. However, the knowledge structure of diverse research on treatment adherence is unclear. This study used co-word analysis and social network analysis techniques to analyze research literature on adherence, and to show their knowledge structure and evolution over time.

Original language	English
Article number	e34497
Journal	PLoS One
Volume	7
Issue number	4
DOIs	https://doi.org/10.1371/journal.pone.0034497
Publication status	Published - 5 Apr 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Bibliometrics
Biomedical Research
HIV
HIV Infections
Humans
Knowledge
Patient Compliance
Research Design
Social Support

Access to Document

10.1371/journal.pone.0034497Licence: CC BY

Cite this

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AU - Zhang, Juan

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AU - Xu, Jing

AU - Song, Fujian

AU - Wang, Zhihong

AU - Lu, Zuxun

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KW - Social Support

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