{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T14:59:51Z","timestamp":1788015591388,"version":"build-2784847793"},"reference-count":46,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Aging"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Although clustering techniques are commonly used in bibliometric analysis to identify research themes, few studies systematically assign these themes back to individual articles. This gap limits the interpretability of findings and hinders granular, article-level longitudinal analysis.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study introduces the Theme Assignment Algorithm for Articles (TAAA), a data-driven framework designed to map clustered themes to individual publications. We demonstrate its utility by identifying dominant research patterns and thematic shifts within JMIR Aging.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n TAAA was applied to 434 JMIR Aging articles published between 2020 and 2025. Keywords were harvested from 3 sources: Web of Science Core Collection (WoSCC) Keywords Plus, author-provided keywords, and abstract-derived terms. These were grouped into thematic clusters using the \u201cfollowing leader clustering algorithm\u201d. The TAAA, implemented via R and a web-based application, determined each article\u2019s primary theme using a statistical model to create a discrete article-level variable. Core themes were identified via h-index computation. Analytical visualization included Kano and Sankey diagrams, alongside volcano plots and heatmaps. The framework\u2019s robustness was further tested by applying a \u201cdifferentially expressed genes\u201d analogy to map \u201cunknown\u201d core metadata across \u201cknown\u201d pre\/post publication stages using Cohen kappa as the extent of mapping power.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Analysis across the 3 keyword sources yielded 9, 7, and 9 core themes, respectively. The most prominent themes identified were HEALTH (39.4%), OLDER ADULTS (43.1%), and DEMENTIA (25.3%). Notably, DEMENTIA emerged as a consistent core theme across all sources and visual layers, validating the TAAA\u2019s ability to capture cross-source thematic coherence. The adaptation of dual heatmaps demonstrated the algorithm\u2019s capacity for comparative bibliometric mapping in JMIR Aging. A mapping precision of 0.33 provided quantitative evidence of a 2-stage publication pattern, though the separation between stages was not strictly confined to predefined time intervals.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The TAAA framework provides a replicable, scalable, and interpretable method for article-level thematic assignment. Its ability to uncover consistent research patterns\u2014specifically the dominance of dementia-related studies in JMIR Aging\u2014demonstrates its value for bibliometricians and its potential adaptability to other domains, such as bioinformatics-inspired meta-analyses.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/79906","type":"journal-article","created":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T20:12:28Z","timestamp":1779999148000},"page":"e79906-e79906","source":"Crossref","is-referenced-by-count":1,"title":["Assigning Article-Level Themes in Bibliometric Analysis: Mode-Based Mapping Approach Using JMIR Aging Publications"],"prefix":"10.2196","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-6430-0304","authenticated-orcid":false,"given":"Sam Yu-Chieh","family":"Ho","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2189-4395","authenticated-orcid":false,"given":"Kang-Ting","family":"Tsai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,5,28]]},"reference":[{"key":"R1","unstructured":"JMIR Aging. 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