ReviewF1000Research2025
A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research.
Review in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research.F1000Research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The relationship between music and well-being has gained scholarly interest due to its implications for mental health and rehabilitation. However, no large-scale bibliometric analysis has captured global trends in this interdisciplinary field. This study addresses this gap by systematically mapping music and well-being research, identifying dominant themes and areas needing investigation. Methods: We analyzed 16,585 peer-reviewed articles from Scopus (inception to May 2025) across psychology, medicine, and neuroscience. Using co-occurrence network analysis with VOSviewer 1.6.20, Louvain clustering, and cosine similarity mapping, we identified major research trajectories. Temporal trends were analyzed using piecewise linear regression, with qualitative validation via the scanning, sensing, and substantiating framework. Data processing used Python 3.13.3 and R 4.4.3 with bibliometrix. Results: A targeted review of 30 key articles-identified through keyword alignment and citation metrics-validated five thematic clusters: (1) Well-being and Spiritual Growth, (2) Music Therapy for Anxiety and Pain, (3) Emotion and Cognition, (4) Rehabilitation in Older Adults, and (5) Hearing Health in Youth. Publication output increased sharply after 2018, with Cluster 2 representing the largest research share. The United States and Europe were most prolific, while musically rich regions like Africa and South Asia were underrepresented. Emerging trends include neuroscientific explorations and AI-driven music interventions. However, clinical implementation challenges persist, including limited healthcare integration and insufficient practitioner training. Conclusions: This study provides a foundation for music and well-being research, emphasizing the need for cross-cultural studies, mechanistic insights, and ethical frameworks for digital applications. Future work should prioritize translating research into practice, ensuring equitable global representation, and addressing implementation barriers. Clinicians need training and institutional support, while policymakers must fund research in underrepresented regions to ensure evidence reflects global musical diversity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.