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Virtual simulation studies in nursing education: A bibliometric analysis of the top 100 cited studies, 2021
Robyn Cant1, Colleen Ryan2, Suzan Kardong-Edgren3
1Health Innovation and Transformation Centre, Federation University Australia, Berwick 3806, Victoria, Australia.
Objectives:
Bibliometrics is an emerging science in nursing. Quantitative methods were used to conduct a bibliometric analysis of highly cited virtual simulation nursing education articles to describe rank order, breadth of topics and authorship patterns.
Design And Data Sources:
A desktop analysis of publication performance was conducted using the Scopus database as the source of article citation data.
Results And Discussion:
The top 100 cited articles clustered over 14-years, 2008 to 2021. Citations per paper ranged from 88 to a low of 3 (median 18, mean 22.1) and in the top 10 studies, from 88 to 41. The citation trajectory was moderately correlated with article maturity (r = -.384, p ≤0.001). Article citations in subsequent publications commenced the first year after publication and three-year-old papers reached the mean citation rate of 22. Nurse Education Today was the most cited journal. There was no significant impact of article type (72% primary research, 17% literature reviews, 11% descriptive papers) (p = 0.755). International representation was strong, as first authors in 21 countries were cited - many (43%) from USA. One highly cited author (M. Verkuyl) from Canada led six papers, with six other authors each leading two studies. Virtual simulation modalities included virtual simulation, virtual reality simulation, 3D virtual reality simulation, virtual games and virtual worlds. The top 10 articles offer a diverse resource for faculty and educators who wish to consider using virtual simulation.
Conclusion:
Virtual simulation studies in nursing education cover an emerging field of research that has relatively low citation rates. Nursing researchers and faculty need to understand the usefulness and limitations of bibliometric analysis as this methodology can make a unique contribution to research, policy, and funding decisions, and enable productivity assessments of faculty staff and departments.
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