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Published on: October 24, 2019
A cross-country comparison of nursing research outputs in relation to funding: An artificial intelligence-enhanced
Elena Sblendorio1, Marco Tomietto2, Vincenzo Dentamaro3
1Department of Biomedicine and Prevention, University of Rome "Tor Vergata," Rome, Italy; Azienda Ospedaliero-Universitaria Consorziale Policlinico di Bari, Bari, Italy.
Background:
Global nursing research investments aim to improve health outcomes, yet the funding-quality relationship remains poorly understood.
Purpose:
To analyze international nursing research trends (2017-2022) across the 29 most productive countries, examining correlations between declared funding and publication quantity and quality.
Methods:
AI-enhanced scientometric analysis employed a Python algorithm matching extracted journals for each country's publication to corresponding quartiles (Q1-Q4), using Scimago's 2022 Scopus update. Two quality metrics -the ratio of total citations to total publications (TC/TP) and the proportion of Q1 publications to total publications (Q1/TP)- were correlated. Local Outlier Factor technique enabled outlier detection.
Findings:
Nursing research demonstrated quadratic growth. The two quality metrics strongly correlated (r = 0.916, p< 0.001). The number of publications declaring funding correlated highly with publication quantity (r = 0.955, p < 0.001), but not with quality (r = -0.077, p = 0.686). The USA led in publication volume, while the UK, and several European nations led in quality. Notable growth occurred in Indonesia, Saudi Arabia, China, Iran, South Korea, and Turkey.
Discussion:
Findings suggest that while funding drives publication quantity, quality enhancement requires comprehensive investment strategies, including indirect expenses for institutional research infrastructure and capacity building.
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