Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis

Yun Chen; Meng Zhang; Lilan He

doi:doi:10.11648/j.wjph.20190404.15

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Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis

Yun Chen, Meng Zhang, Lilan He

Published in World Journal of Public Health (Volume 4, Issue 4)

Received: 7 November 2019 Accepted: 28 November 2019 Published: 11 December 2019

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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.

Published in	World Journal of Public Health (Volume 4, Issue 4)
DOI	10.11648/j.wjph.20190404.15
Page(s)	102-108
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Co-word Analysis, Beckwith Wiedemann Syndrome, Research Status, Nursing

References

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APA Style

Yun Chen, Meng Zhang, Lilan He. (2019). Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis. World Journal of Public Health, 4(4), 102-108. https://doi.org/10.11648/j.wjph.20190404.15

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ACS Style

Yun Chen; Meng Zhang; Lilan He. Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis. World J. Public Health 2019, 4(4), 102-108. doi: 10.11648/j.wjph.20190404.15

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AMA Style

Yun Chen, Meng Zhang, Lilan He. Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis. World J Public Health. 2019;4(4):102-108. doi: 10.11648/j.wjph.20190404.15

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@article{10.11648/j.wjph.20190404.15,
  author = {Yun Chen and Meng Zhang and Lilan He},
  title = {Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis},
  journal = {World Journal of Public Health},
  volume = {4},
  number = {4},
  pages = {102-108},
  doi = {10.11648/j.wjph.20190404.15},
  url = {https://doi.org/10.11648/j.wjph.20190404.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20190404.15},
  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.},
 year = {2019}
}

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TY  - JOUR
T1  - Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis
AU  - Yun Chen
AU  - Meng Zhang
AU  - Lilan He
Y1  - 2019/12/11
PY  - 2019
N1  - https://doi.org/10.11648/j.wjph.20190404.15
DO  - 10.11648/j.wjph.20190404.15
T2  - World Journal of Public Health
JF  - World Journal of Public Health
JO  - World Journal of Public Health
SP  - 102
EP  - 108
PB  - Science Publishing Group
SN  - 2637-6059
UR  - https://doi.org/10.11648/j.wjph.20190404.15
AB  - 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.
VL  - 4
IS  - 4
ER  -

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Author Information

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

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Plain Text BibTeX RIS

APA Style

Yun Chen, Meng Zhang, Lilan He. (2019). Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis. World Journal of Public Health, 4(4), 102-108. https://doi.org/10.11648/j.wjph.20190404.15

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ACS Style

Yun Chen; Meng Zhang; Lilan He. Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis. World J. Public Health 2019, 4(4), 102-108. doi: 10.11648/j.wjph.20190404.15

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AMA Style

Yun Chen, Meng Zhang, Lilan He. Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis. World J Public Health. 2019;4(4):102-108. doi: 10.11648/j.wjph.20190404.15

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@article{10.11648/j.wjph.20190404.15,
  author = {Yun Chen and Meng Zhang and Lilan He},
  title = {Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis},
  journal = {World Journal of Public Health},
  volume = {4},
  number = {4},
  pages = {102-108},
  doi = {10.11648/j.wjph.20190404.15},
  url = {https://doi.org/10.11648/j.wjph.20190404.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20190404.15},
  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.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Current Status of Nursing Research on Beckwith Wiedemann Syndrome Based on Co-word Analysis
AU  - Yun Chen
AU  - Meng Zhang
AU  - Lilan He
Y1  - 2019/12/11
PY  - 2019
N1  - https://doi.org/10.11648/j.wjph.20190404.15
DO  - 10.11648/j.wjph.20190404.15
T2  - World Journal of Public Health
JF  - World Journal of Public Health
JO  - World Journal of Public Health
SP  - 102
EP  - 108
PB  - Science Publishing Group
SN  - 2637-6059
UR  - https://doi.org/10.11648/j.wjph.20190404.15
AB  - 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.
VL  - 4
IS  - 4
ER  -

Copy | Download