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Citing this Article

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Published on 07.11.16 in Vol 1, No 2 (2016): Jul-Dec

This paper is in the following e-collection/theme issue:

Works citing "Use of Social Media in the Diabetes Community: An Exploratory Analysis of Diabetes-Related Tweets"

Yang Liu, Qiaozhu Mei, David A Hanauer, Kai Zheng, Joyce M Lee

JMIR Diabetes 2016 (Nov 07); 1(2):e4 

According to Crossref, the following articles are citing this article (DOI 10.2196/diabetes.6256):

(note that this is only a small subset of citations)

  1. Litchman ML, Walker HR, Ng AH, Wawrzynski SE, Oser SM, Greenwood DA, Gee PM, Lackey M, Oser TK. State of the Science: A Scoping Review and Gap Analysis of Diabetes Online Communities. Journal of Diabetes Science and Technology 2019;13(3):466
    CrossRef
  2. Pérez-Pérez M, Pérez-Rodríguez G, Fdez-Riverola F, Lourenço A. Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics. Journal of Medical Internet Research 2019;21(8):e12610
    CrossRef
  3. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  4. White K, Gebremariam A, Lewis D, Nordgren W, Wedding J, Pasek J, Garrity A, Hirschfeld E, Lee JM. Motivations for Participation in an Online Social Media Community for Diabetes. Journal of Diabetes Science and Technology 2018;12(3):712
    CrossRef
  5. Fatehi F, Menon A, Bird D. Diabetes Care in the Digital Era: a Synoptic Overview. Current Diabetes Reports 2018;18(7)
    CrossRef
  6. Zaccardi F, Davies MJ, Khunti K. The present and future scope of real‐world evidence research in diabetes: What questions can and cannot be answered and what might be possible in the future?. Diabetes, Obesity and Metabolism 2020;22(S3):21
    CrossRef
  7. . The future of diabetes education. Practical Diabetes 2019;36(6):196
    CrossRef
  8. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  9. Oser TK, Oser SM, McGinley EL, Stuckey HL. A Novel Approach to Identifying Barriers and Facilitators in Raising a Child With Type 1 Diabetes: Qualitative Analysis of Caregiver Blogs. JMIR Diabetes 2017;2(2):e27
    CrossRef
  10. Wakamiya S, Matsune S, Okubo K, Aramaki E. Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis. Journal of Medical Internet Research 2019;21(2):e10450
    CrossRef
  11. Talbot CV, O'Dwyer ST, Clare L, Heaton J, Anderson J. How people with dementia use twitter: A qualitative analysis. Computers in Human Behavior 2020;102:112
    CrossRef
  12. . Open Access as a Revolution: Knowledge Alters Power. Journal of Medical Internet Research 2019;21(12):e16368
    CrossRef
  13. Patel KD, Zainab K, Heppner A, Srivastava G, Mago V. Using Twitter for diabetes community analysis. Network Modeling Analysis in Health Informatics and Bioinformatics 2020;9(1)
    CrossRef
  14. Myneni S, Lewis B, Singh T, Paiva K, Kim SM, Cebula AV, Villanueva G, Wang J. Diabetes Self-Management in the Age of Social Media: Large-Scale Analysis of Peer Interactions Using Semiautomated Methods. JMIR Medical Informatics 2020;8(6):e18441
    CrossRef
  15. Chalmers K, Smith M, Moreno M, Malik F. “It Got Likes, But I Don’t Think People Understood”: A Qualitative Study of Adolescent Experiences Discussing Type 1 Diabetes on Social Media. Journal of Diabetes Science and Technology 2022;16(4):858
    CrossRef
  16. Pérez-Aldana CA, Lewinski AA, Johnson CM, Vorderstrasse AA, Myneni S. Exchanges in a Virtual Environment for Diabetes Self-Management Education and Support: Social Network Analysis. JMIR Diabetes 2021;6(1):e21611
    CrossRef
  17. Ríssola EA, Losada DE, Crestani F. A Survey of Computational Methods for Online Mental State Assessment on Social Media. ACM Transactions on Computing for Healthcare 2021;2(2):1
    CrossRef
  18. Shaw G, Zimmerman M, Vasquez-Huot L, Karami A. Deciphering Latent Health Information in Social Media Using a Mixed-Methods Design. Healthcare 2022;10(11):2320
    CrossRef
  19. Pirim H, Nagahi M, Larif O, Nagahisarchoghaei M, Jaradat R. Integrated twitter analysis to distinguish systems thinkers at various levels: a case study of COVID-19. Applied Network Science 2023;8(1)
    CrossRef
  20. Bedford-Petersen C, Weston SJ. Mapping Individual Differences on the Internet: Case Study of the Type 1 Diabetes Community. JMIR Diabetes 2021;6(4):e30756
    CrossRef
  21. Ahne A, Khetan V, Tannier X, Rizvi MIH, Czernichow T, Orchard F, Bour C, Fano A, Fagherazzi G. Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach. JMIR Medical Informatics 2022;10(7):e37201
    CrossRef
  22. Ramamoorthy T, Kulothungan V, Mappillairaju B. Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India. Frontiers in Artificial Intelligence 2024;7
    CrossRef
  23. Sousa‐Pinto B, Jankin S, Vieira RJ, Marques‐Cruz M, Fonseca JA, Bousquet J. English tweets on allergy: Content analysis and association with surveillance data. Clinical & Experimental Allergy 2024;
    CrossRef