Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/21380
Title: 
Authors: 
Issue Date: 
2019
Citation: 
Kee, Y. H., Li, C., Kong, L. C., Tang, C. J., & Chuang, K. L. (2019). Scoping review of mindfulness research: A topic modelling approach. Mindfulness, 10(8), 1474-1488. https://doi.org/10.1007/s12671-019-01136-4
Abstract: 
Objectives: As the volume of mindfulness research continues amassing exponentially, there have been attempts to review works in various aspects of mindfulness research systematically. The present study provides a scoping review via a topic modelling approach to supplement the overall research synthesis effort. Specifically, the objective is to scope the mindfulness research by identifying topics relevant to mindfulness research using the probabilistic topic modelling approach. Methods: A literature search based on “mindfulness” returned 5,947 bibliographical records from the Web of Science platform (for records up to 20 October 2017). Results: When the titles and abstracts were subjected to the probabilistic topic modelling approach, 106 topics were revealed. Further interpretation by the research team resulted in a total of 231 Suggested Terms. The terms were further categorised into Condition/Issue, Construct/Philosophy, Modality, Population/Setting and Research Methodology. Conclusions: The topic modelling process obtained a panoptic view of mindfulness research, providing mindfulness researchers with some indicators regarding the range of topics currently under study. The outcome of this topic modelling effort has been made available at http://mindfulnesstm.github.io/tiddlywiki/Mindfulness_TM_2017.html.
Description: 
This is the final draft, after peer-review, of a manuscript published in Mindfulness. The published version is available online at https://doi.org/10.1007/s12671-019-01136-4
URI: 
ISSN: 
1868-8527 (print)
1868-8535 (online)
Other Identifiers: 
10.1007/s12671-019-01136-4
Related Source: 
The dataset for this journal article is available in the NIE Data Repository at https://doi.org/10.25340/R4/SDWNGQ
Appears in Collections:Journal Articles

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