ArticleJMIR cancer2025
Social Media-Based Cancer Education: Bibliometric and Thematic Analysis.
Article in JMIR cancer, 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.
- Thematic Mapping and Evolution of Social Media Mining in Health Research: Hybrid Bibliometric Synthesis.Journal of medical Internet research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Traditional education for patients with cancer faces challenges related to timeliness, accessibility, and a personalized approach. Social media has emerged as a novel platform for delivering cancer-related educational content, garnering growing academic interest. However, a comprehensive assessment of the current research landscape in this domain is lacking. Objective: This study aimed to identify research hotspots; trace the evolution of social media-based education for patients with cancer; and map the leading journals, institutions, and international collaboration networks in this field. Methods: A bibliometric and thematic analysis was conducted using tools, such as VOSviewer, Bibliometrix, and CiteSpace, to examine articles indexed in the Web of Science Core Collection from 2011 to 2025. The analysis explored publication trends, author and institutional collaboration networks, keyword co-occurrence, factor analysis, thematic clusters, and the evolution of disciplinary keyword categories. Results: A total of 119 publications were retrieved. The Journal of Medical Internet Research was the most productive journal in this field, publishing 13 articles (10.9%). The University of Minnesota was the most productive institution, contributing 6 publications (5.0%). The United States accounted for the largest proportion of publications (56/119, 47.1%), with 5 of the top 10 institutions based in the country. The United States also led the international collaboration network. Keyword analysis identified key research hotspots, including platform-specific information dissemination, tailored educational interventions for diverse patient populations, efforts to enhance quality of life, and challenges related to health misinformation. Thematic evolution demonstrated a shift from basic information-seeking behaviors to broader topics such as digital health and health equity, indicating a multidimensional and interdisciplinary research trajectory. Conclusions: This study represents the first bibliometric analysis of social media-based cancer education, providing actionable insights to inform digital health literacy strategies and advance patient-centered, equitable health care.
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.