2019
DOI: 10.7717/peerj.8145
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Mapping theme trends and recognizing hot spots in postmenopausal osteoporosis research: a bibliometric analysis

Abstract: BackgroundThis 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.MethodsScientific papers published on postmenopausal osteoporosis were extracted from the Web of Science Core Collection and PubMed database. Extracted information was analyzed quantitatively with bibliometric analysis by CiteSpace, the Online Analysis Platform of Literature Metrology and Bibliographic Item Co-Occurr… Show more

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Cited by 42 publications
(42 citation statements)
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“…The co-occurrence criteria group strongly related keywords in the set of articles in the sample. This analysis examines the articles in order to search for two or more keywords that tend to be together [91]. It is established that if there are concurrent concepts, a category is generated.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The co-occurrence criteria group strongly related keywords in the set of articles in the sample. This analysis examines the articles in order to search for two or more keywords that tend to be together [91]. It is established that if there are concurrent concepts, a category is generated.…”
Section: Methodsmentioning
confidence: 99%
“…Figure 8 shows the keyword network on this research topic, based on co-occurrence. One of the main utilities of the bibliometric method is the examination of the analysis units of the article text, that is, of the keywords extracted from the title and abstract fields [79,91]. Therefore, seven clusters of keywords composed of interrelated units have been detected, on the topic of financial transactions at a global level.…”
Section: Keyword Analysismentioning
confidence: 99%
“…Similarly, the indicators of the structure of collaboration, which measure the links between authors and countries, were analysed by processing tools and network maps due to their reliability and suitability in bibliometric analyses [97,98]. Therefore, the software tool VOSviewer (v1.6.15, University of Leiden, Leiden, Netherlands) was used for the mapping, enabling the processing of keywords and the grouping analysis, with the aim of visualising maps by co-authorship and co-occurrence [99].…”
Section: Data Collection and Processingmentioning
confidence: 99%
“…Time zone view comprised of keywords nodes showed the general evolution of research over time [26]. The more articles during that period, the more important in uential the research results are [19].…”
Section: Time Trends For the Abstract Of Hcq Treatment Studiesmentioning
confidence: 99%