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Citing this Article

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Published on 28.02.18 in Vol 20, No 2 (2018): February

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

Works citing "The Effect of Doctor-Consumer Interaction on Social Media on Consumers’ Health Behaviors: Cross-Sectional Study"

Tailai Wu, Zhaohua Deng, Zhanchun Feng, Darrell J Gaskin, Donglan Zhang, Ruoxi Wang

J Med Internet Res 2018 (Feb 28); 20(2):e73 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9003):

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

  1. Abul-Fottouh D, Song MY, Gruzd A. Examining algorithmic biases in YouTube’s recommendations of vaccine videos. International Journal of Medical Informatics 2020;140:104175
    CrossRef
  2. Hazzam J, Lahrech A. Health Care Professionals’ Social Media Behavior and the Underlying Factors of Social Media Adoption and Use: Quantitative Study. Journal of Medical Internet Research 2018;20(11):e12035
    CrossRef
  3. Wu T, Deng Z, Chen Z, Zhang D, Wang R, Wu X. Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(6):e13693
    CrossRef
  4. Shang L, Zuo M, Ma D, Yu Q. The Antecedents and Consequences of Health Care Professional–Patient Online Interactions: Systematic Review. Journal of Medical Internet Research 2019;21(9):e13940
    CrossRef
  5. Wu T, Deng Z, Chen Z, Zhang D, Wu X, Wang R. Predictors of Patients’ Loyalty Toward Doctors on Web-Based Health Communities: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(9):e14484
    CrossRef
  6. 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
  7. Gabel J, O'Dell T, Masuda E, Bianchi C, Kiang S, Abou-Zamzam A, Teruya TH. Who is treating venous disease in America today?. Journal of Vascular Surgery: Venous and Lymphatic Disorders 2019;7(4):610
    CrossRef
  8. Khana R, Mahinderjit Singh M, Damanhoori F, Mustaffa N. Breast Self-Examination System Using Multifaceted Trustworthiness: Observational Study. JMIR Medical Informatics 2020;8(9):e21584
    CrossRef
  9. Liu Y, Jiang F, Lin P. Influence Mechanism of The Affordances of Chronic Disease Management Apps on Continuance Intention: Mediating Role of Health Empowerment (Preprint). JMIR mHealth and uHealth 2020;
    CrossRef
  10. Noel JK, Lakhan HA. Changing Alcohol Cravings Using Social Media Comments. Substance Use & Misuse 2021;56(3):377
    CrossRef
  11. . Orthorexia tendency and social media addiction among candidate doctors and nurses. Perspectives in Psychiatric Care 2021;57(4):1846
    CrossRef
  12. Linton S, Burrows AG, Hossenbaccus L, Ellis AK. Future of allergic rhinitis management. Annals of Allergy, Asthma & Immunology 2021;127(2):183
    CrossRef
  13. Liu J, Gao L. Are Diverse Media Better than a Single Medium? The Relationship between Mixed Media and Perceived Effect from the Perspective of Online Psychological Counseling. International Journal of Environmental Research and Public Health 2021;18(16):8603
    CrossRef
  14. Jia H, Yu X, Jiang H, Yu J, Cao P, Gao S, Shang P, Qiang B. Analysis of factors affecting medical personnel seeking employment at primary health care institutions: developing human resources for primary health care. International Journal for Equity in Health 2022;21(1)
    CrossRef
  15. Sun H, Qian L, Xue M, Zhou T, Qu J, Zhou J, Qu J, Ji S, Bu Y, Hu Y, Wu S, Chen Y, You J, Liu Y. The relationship between eHealth literacy, social media self-efficacy and health communication intention among Chinese nursing undergraduates: A cross-sectional study. Frontiers in Public Health 2022;10
    CrossRef
  16. Xue J, Deng Z, Wu T, Chen Z. Patient distrust toward doctors in online health communities: integrating distrust construct model and social-technical systems theory. Information Technology & People 2023;36(4):1414
    CrossRef
  17. Tang W, Ren J, Zhang Y. Enabling Trusted and Privacy-Preserving Healthcare Services in Social Media Health Networks. IEEE Transactions on Multimedia 2019;21(3):579
    CrossRef
  18. Liu J, Wang J. Users’ Intention to Continue Using Online Mental Health Communities: Empowerment Theory Perspective. International Journal of Environmental Research and Public Health 2021;18(18):9427
    CrossRef
  19. Tian X, Wu R. Determining Factors Affecting the Users’ Participation of Online Health Communities: An Integrated Framework of Social Capital and Social Support. Frontiers in Psychology 2022;13
    CrossRef
  20. Ferrell D, Campos-Castillo C. Factors Affecting Physicians’ Credibility on Twitter When Sharing Health Information: Online Experimental Study. JMIR Infodemiology 2022;2(1):e34525
    CrossRef
  21. Gong W, Guo Q. Framing Public Opinion on Physician-Patient Conflicts on Microblog: A Comparative Content Analysis. Frontiers in Public Health 2022;10
    CrossRef
  22. Lu R, Zhao S, Wang X, Zhou J, Ou W, Jiang Y, Wen J, Hu L. Insights Into the Relationships Between Health Communication and Doctor-patient Relationship: A Scientometric Analysis Based on CiteSpace and Validation of Questionnaires. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2023;60:004695802311520
    CrossRef
  23. Wang Y, Wu T, Chen Z. Active Usage of Mobile Health Applications: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e25330
    CrossRef
  24. Geng S, He Y, Duan L, Yang C, Wu X, Liang G. The association between linguistic characteristics of physicians’ communication and their economic return: insights from web-based consultations (Preprint). Journal of Medical Internet Research 2022;
    CrossRef
  25. Liu Z, Zou W. Breaking Taboos in Women’s Reproductive Health: The Communication Strategies Used by Top OB/GYN Influencers in Chinese Social Media. Health Communication 2024;39(4):685
    CrossRef