{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T15:57:50Z","timestamp":1776095870527,"version":"3.50.1"},"reference-count":66,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2020,12,8]],"date-time":"2020-12-08T00:00:00Z","timestamp":1607385600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Attention deficit hyperactivity disorder (ADHD) is a common behavioural condition. This article introduces a new data science method, word association thematic analysis, to investigate whether ADHD tweets can give insights into patient concerns and online communication needs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>Tweets matching \u201cmy ADHD\u201d (n=58,893) and 99 other conditions (n=1,341,442) were gathered and two thematic analyses conducted. Analysis 1: A standard thematic analysis of ADHD-related tweets. Analysis 2: A word association thematic analysis of themes unique to ADHD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>The themes that emerged from the two analyses included people ascribing their brains agency to explain and justify their symptoms and using the concept of neurodivergence for a positive self-image.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Research limitations<\/jats:title>\n                    <jats:p>This is a single case study and the results may differ for other topics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical implications<\/jats:title>\n                    <jats:p>Health professionals should be sensitive to patients\u2019 needs to understand their behaviour, find ways to justify and explain it to others and to be positive about their condition.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>Word association thematic analysis can give new insights into the (self-reported) patient perspective.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2478\/jdis-2021-0007","type":"journal-article","created":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T08:10:29Z","timestamp":1608624629000},"page":"13-34","source":"Crossref","is-referenced-by-count":13,"title":["\u201cMy ADHD Hellbrain\u201d: A Twitter Data Science Perspective on a Behavioural Disorder"],"prefix":"10.2478","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6065-205X","authenticated-orcid":false,"given":"Mike","family":"Thelwall","sequence":"first","affiliation":[{"name":"Statistical Cybermetrics Research Group , University of Wolverhampton , UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meiko","family":"Makita","sequence":"additional","affiliation":[{"name":"Statistical Cybermetrics Research Group , University of Wolverhampton , UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amalia","family":"Mas-Bleda","sequence":"additional","affiliation":[{"name":"Statistical Cybermetrics Research Group , University of Wolverhampton , UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emma","family":"Stuart","sequence":"additional","affiliation":[{"name":"Statistical Cybermetrics Research Group , University of Wolverhampton , UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2020,12,8]]},"reference":[{"key":"2026020218221366569_j_jdis-2021-0007_ref_001_w2aab3b7c37b1b6b1ab2b1b1Aa","doi-asserted-by":"crossref","unstructured":"Andreassen, C.S., Billieux, J., Griffiths, M.D., Kuss, D.J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. 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