- Title
- Bibliometric Scan of the 100 Most Cited Nursing Simulation Articles
- Creator
- Cant, Robyn; Cooper, Simon J.
- Date
- 2019
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/170476
- Identifier
- vital:14137
- Identifier
-
https://doi.org/10.1016/j.ecns.2019.06.004
- Identifier
- ISBN:1876-1399
- Abstract
- Background: Bibliometrics involves statistical analyses of publication data, particularly citation analysis, to determine popularity/impact of articles and authors. Methods: Citation analysis was conducted on the "top 100'' cited nursing simulation articles in the Scopus database in April 2019. Results: The median number of article citations was 84 (mean = 100.4; range, 53-557). Citations were steadily accumulated after publication; the majority between year four and year seven. Two-thirds of the articles were led by authors from the United States. Conclusions: This report on bibliometric mapping helps to graphically illustrate the evolution of simulation articles in the field of nursing.
- Publisher
- Elsevier Ltd.
- Relation
- Clinical Simulation in Nursing Vol. 36, no. (2019), p. 1-7
- Rights
- Copyright © 2019 International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. All rights reserved.
- Rights
- This metadata is freely available under a CCO license
- Subject
- 1110 Nursing; Bibliometric analysis; Citation analysis; Impact factors; Nursing; Publication analysis; Simulation
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