Published on 09.03.16 in Vol 18, No 3 (2016): March
Works citing "Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5033):
(note that this is only a small subset of citations)
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Aleksova J, Kuczynska-Burggraf M, Ranasinha S, Vincent A. Information on early menopause: is the internet the place to search?. Climacteric 2017;20(3):248
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Miller WR, Gesselman AN, Garcia JR, Groves D, Buelow JM. Epilepsy-related romantic and sexual relationship problems and concerns: Indications from Internet message boards. Epilepsy & Behavior 2017;74:149
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Carpenter JS, Groves D, Chen CX, Otte JL, Miller WR. Menopause and big data: Word Adjacency Graph modeling of menopause-related ChaCha data. Menopause 2017;24(7):783
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Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
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Miller WR, Groves D, Knopf A, Otte JL, Silverman RD. Word Adjacency Graph Modeling. Western Journal of Nursing Research 2017;39(1):166
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Chen CX, Groves D, Miller WR, Carpenter JS. Big Data and Dysmenorrhea: What Questions Do Women and Men Ask About Menstrual Pain?. Journal of Women's Health 2018;27(10):1233
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Barros JM, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680
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Tangherlini TR, Roychowdhury V, Glenn B, Crespi CM, Bandari R, Wadia A, Falahi M, Ebrahimzadeh E, Bastani R. “Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites. JMIR Public Health and Surveillance 2016;2(2):e166
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. Sexual health information-seeking behavior on a social media site: predictors of best answer selection. Online Information Review 2018;42(6):880
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Dutta M, Murray L, Miller W, Groves D. Effects of Epilepsy on Language Functions: Scoping Review and Data Mining Findings. American Journal of Speech-Language Pathology 2018;27(1S):350
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Pretorius K, Choi E, Kang S, Mackert M. Sudden Infant Death Syndrome on Facebook: Qualitative Descriptive Content Analysis to Guide Prevention Efforts. Journal of Medical Internet Research 2020;22(7):e18474
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Aguayo GA, Goetzinger C, Scibilia R, Fischer A, Seuring T, Tran V, Ravaud P, Bereczky T, Huiart L, Fagherazzi G. Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study. Journal of Medical Internet Research 2021;23(12):e25743
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Wijayanti RP, Handayani PW, Azzahro F. Intention to seek health information on social media in Indonesia. Procedia Computer Science 2022;197:118
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Malloy C, Rawl SM, Miller WR. Inflammatory Bowel Disease Self-Management. Gastroenterology Nursing 2022;
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Miller WR, Malloy C, Mravec M, Sposato MF, Groves D. Nursing in the spotlight: Talk about nurses and the nursing profession on Twitter during the early COVID-19 pandemic. Nursing Outlook 2022;70(4):580
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Ren X, Wang X. RETRACTED ARTICLE: Medical intelligent system application in schizophrenia treatment satisfaction based on neural networks. Soft Computing 2023;27(14):10093
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. A Simple and Systematic Approach to Qualitative Data Extraction From Social Media for Novice Health Care Researchers: Tutorial. JMIR Formative Research 2024;8:e54407
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5033):
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Hocke-Bolte Z, Peters B, Haunit T. Forschungsmethoden in der Gesundheitsförderung und Prävention. 2021. Chapter 27:745
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