Stroke Care and Nursing excellence: Author-Centric Scientometrics visualization and Lotka's Law manipulation
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DOI:
https://doi.org/10.61705/37mwxw68Keywords:
Nursing Science, Authorship Dynamics, Scientometric Analysis, Lotka's Law, StrokeAbstract
By examining 283 papers from 156 sources, this study investigates authorship patterns in medical research publications from 2022 to 2023. With an average of 6.83 co-authors per publication, the negative yearly growth rate of -25.31% highlights the collaborative character of medical research and calls for further research into possible factors. The study makes use of Scientometric analysis, R programming, and Lotka's Law in conjunction with the Gini Coefficient and Modified Z-Scores to uncover trends in collaboration and distribution patterns as well as possible outliers. All things considered, this research offers insightful information for upcoming medical research plans and cooperative projects.
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