Mapping theme trends and recognizing hot spots in postmenopausal osteoporosis research: a bibliometric analysis

This study aimed to draw a series of scientific maps to quantitatively and qualitatively evaluate hot spots and trends in postmenopausal osteoporosis research using bibliometric analysis. Scientific papers published on postmenopausal osteoporosis were extracted from the Web of Science Core Collectio...

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Veröffentlicht in:	PeerJ (San Francisco, CA) Jg. 7; S. e8145
Hauptverfasser:	Zhou, Siming, Tao, Zhengbo, Zhu, Yue, Tao, Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 25.11.2019 PeerJ, Inc PeerJ Inc
Schlagworte:	Analysis Bibliometric analysis Bibliometrics Biclustering Citation indexes Cluster analysis Co-word analysis Consumer health information Denosumab Development and progression Diabetes and Endocrinology Etiology Etiology (Medicine) Fractures Global Health Hot spots Information seeking behavior Library collections Mapping theme trends Medical Subject Headings-MeSH Methods Orthopedics Osteoporosis Post-menopause Postmenopausal osteoporosis Postmenopausal women Search strategies Statistics Trends Visualization Women’s Health Co-word analysis Biclustering Bibliometric analysis Mapping theme trends Postmenopausal osteoporosis Hot spots
ISSN:	2167-8359, 2167-8359
Online-Zugang:	Volltext
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