[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Indexing::
Contact us::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
Copyright Policy
..
:: year 8, Issue 1 (5-2021) ::
CJS 2021, 8(1): 44-57 Back to browse issues page
Co-word analysis in nursing science
Ehsan Geraei , Razieh Farshid * , Fatemeh Faraji
PhD student of Knowledge and Information Science, Faculty of Psychology and Education, Kharazmi University, Tehran, Iran , razieh.farshid@gmail.com
Abstract:   (3020 Views)
Background and aim: Co-word analysis is a tool for depicting the scientific structure of outputs. Therefore, the aim of this study was to evaluate the co-word analysis in nursing science by examining the keywords of Master's and Doctoral dissertations in the Faculty of Nursing and Midwifery of Shahid Beheshti University of Medical Sciences.
Materials and methods: In this scientometric study used co-word analysis method, the research population included 473 master's and doctoral dissertations in the field of nursing in the Faculty of Nursing and Midwifery of Shahid Beheshti University of Medical Sciences. Data were analyzed using Ravar, Gephi, UCINET and SPSS.
Findings: The results showed that 902 keywords were used in the dissertations that the highest frequency of words in the nursing dissertations of Shahid Beheshti University of Medical Sciences was related to the nurse (117), neonate (58), quality (53), respectively. Results associated with hierarchical clustering by Ward’s method led to the formation of seven clusters in this field: "Nursing Management, Community Health Nursing, Neonatal Nursing, Neonatal Intensive Care Units, Nursing Research Methodology, Community Health Nursing" and "Nursing Emergencies" so that cluster 6 (Community Health Nursing) and cluster 1 (Nursing Management) had the highest and lowest centrality among different clusters, respectively. Moreover, cluster 7 (Nursing Emergencies) and cluster 6 (Community Health Nursing) had the highest and lowest density among other clusters, respectively.
Conclusion: In nursing research, the issues of quality, health and self-care play a central role, but the issues of stress, anxiety and mortality have not been considered in this field.
Keywords: Scientific structure, Co-word analysis, Hierarchical clustering, Shahid Beheshti University of Medical Sciences, Nursing
Full-Text [PDF 858 kb]   (1469 Downloads)    
Type of Study: Orginal | Subject: Scientometrics
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Geraei E, Farshid R, Faraji F. Co-word analysis in nursing science. CJS 2021; 8 (1) :44-57
URL: http://cjs.mubabol.ac.ir/article-1-223-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
year 8, Issue 1 (5-2021) Back to browse issues page
Caspian Journal of Scientometrics
Persian site map - English site map - Created in 0.08 seconds with 39 queries by YEKTAWEB 4645