Dataset Information

Mapping the knowledge structure of frailty in journal articles by text network analysis.

ABSTRACT: This study was to understand the trends of frailty research and networking features of keywords from the academic articles focusing on frailty in the last four decades.Keywords were extracted from articles (n = 6,424) retrieved from Web of Science, from 1981 to April 2016, using Bibexcel, and a social network analysis was conducted using Net Miner.The core-keywords of research on frailty are constantly changing over the last 40 years. The keywords were tended to focus on impact in the 1980s, and moved to the determinants (i.e., malnutrition) in the 1990s and the 2000s, and in the 2010s, most of keywords were about determinants and measurement of frailty. In the early stages of frailty research, individual behaviour modifications were emphasized as intervention. Keywords with the highest degree centralities were 'impact' (1980s), 'frailty' (1990s), 'home care' (2000s), and 'dementia' (2010s). Keywords with the highest betweenness centralities were 'model' (1980s), 'frailty' (1990s), 'chronic disease' (2000s), and 'malnutrition' (2010s).This study provides a systematic overview of frailty knowledge development. 'Dementia' was found to be the keyword with the highest degree centrality, showing that studies on cognitive function are those being most actively conducted in recent decade. In the 2000s frailty research, sub-themes were sarcopenia, dementia and disability, indicating that frailty was investigated from the view of disease. In the 2010s, obesity, nutrition, prevention, evaluation, and ADL (activities of daily living) were sub-themes of the research network that focused on frailty prevention.

SUBMITTER: Kim Y

PROVIDER: S-EPMC5908161 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Mapping the knowledge structure of frailty in journal articles by text network analysis.

Kim Youngji Y Jang Soong-Nang SN

PloS one 20180419 4

<h4>Backgrounds</h4>This study was to understand the trends of frailty research and networking features of keywords from the academic articles focusing on frailty in the last four decades.<h4>Method</h4>Keywords were extracted from articles (n = 6,424) retrieved from Web of Science, from 1981 to April 2016, using Bibexcel, and a social network analysis was conducted using Net Miner.<h4>Results</h4>The core-keywords of research on frailty are constantly changing over the last 40 years. The keywor ...[more]

PMID: 29672647

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Project description:Importance:Citation analysis is a bibliometric method that uses citation rates to evaluate research performance. This type of analysis can identify the articles that have shaped the modern history of obstetrics and gynecology (OBGYN). Objectives:To identify and characterize top-cited OBGYN articles in the Institute for Scientific Information Web of Science's Science Citation Index Expanded and to compare top-cited OBGYN articles published in specialty OBGYN journals with those published in nonspecialty journals. Design, Setting, and Participants:Cross-sectional bibliometric analysis of top-cited articles that were indexed in the Science Citation Index Expanded from 1980 to 2018. The Science Citation Index Expanded was queried using search terms from the American Board of Obstetrics and Gynecology's 2018 certifying examination topics list. The top 100 articles from all journals and the top 100 articles from OBGYN journals were evaluated for specific characteristics. Data were analyzed in March 2019. Main Outcomes and Measures:The articles were characterized by citation number, publication year, topic, study design, and authorship. After excluding articles that featured on both lists, top-cited articles were compared. Results:The query identified 3?767?874 articles, of which 278?846 (7.4%) were published in OBGYN journals. The top-cited article was published by Rossouw and colleagues in JAMA (2002). Top-cited articles published in nonspecialty journals were more frequently cited than those in OBGYN journals (median [interquartile range], 1738 [1490-2077] citations vs 666 [580-843] citations, respectively; P?<?.001) and were more likely to be randomized trials (25.0% vs 2.2%, respectively; difference, 22.8%; 95% CI, 13.5%-32.2%; P?<?.001). Whereas articles from nonspecialty journals focused on broad topics like osteoporosis, articles from OBGYN journal focused on topics like preeclampsia and endometriosis. Conclusions and Relevance:This study found substantial differences between top-cited OBGYN articles published in nonspecialty vs OBGYN journals. These differences may reflect the different goals of the journals, which work together to ensure optimal dissemination of impactful articles.

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Dataset Information

Mapping the knowledge structure of frailty in journal articles by text network analysis.

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Mapping the knowledge structure of frailty in journal articles by text network analysis.

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