Volume 4, Issue 4, December 2019, Page: 102-108
Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis
Yun Chen, Department of Neonatology, The First Affiliated Hospital of Jinan University, Guangzhou, China
Meng Zhang, Department of Neonatology, The First Affiliated Hospital of Jinan University, Guangzhou, China
Lilan He, Department of Neonatology, The First Affiliated Hospital of Jinan University, Guangzhou, China
Received: Nov. 7, 2019;       Accepted: Nov. 28, 2019;       Published: Dec. 11, 2019
DOI: 10.11648/j.wjph.20190404.15      View  114      Downloads  45
Abstract
Using the "Beckwith Wiedemann" "care" or "Beckwith Wiedemann" "nursing" literature in the core collection of Web of Science (WOS) as a data source to understand and analyze the current status of nursing research in Beckwith Wiedemann syndrome for Beckwith Wiedemann syndrome care Provide clinical and research references. The selected literature titles are imported into the literature bibliographic information statistical analysis tool (SATI) to perform frequency statistics on the subject words, matrix is generated, and the results are imported into SPSS 22.0 for drawing cluster analysis and multidimensional scale analysis map. Based on the clustering analysis of high-frequency subject words and the results of multidimensional scaling analysis, the research focus on Beckwith Wiedemann syndrome nursing is: Beckwith Wiedemann syndrome nursing research has experienced a slow development period, and is now in a prosperous period, but the overall number of studies is low. The content coverage is comprehensive but not in-depth and should be improved. The research and exploration of Beckwith Wiedemann syndrome care can be further combined with the current research hotspots to improve the quantity and quality of Beckwith Wiedemann syndrome nursing research.
Keywords
Co-word Analysis, Beckwith Wiedemann Syndrome, Research Status, Nursing
To cite this article
Yun Chen, Meng Zhang, Lilan He, Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis, World Journal of Public Health. Vol. 4, No. 4, 2019, pp. 102-108. doi: 10.11648/j.wjph.20190404.15
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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