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Citing this Article

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Published on 11.11.13 in Vol 15, No 11 (2013): November

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

Works citing "Analysis of the Purpose of State Health Departments' Tweets: Information Sharing, Engagement, and Action"

Rosemary Thackeray, Brad L Neiger, Scott H Burton, Callie R Thackeray

J Med Internet Res 2013 (Nov 11); 15(11):e255 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3002):

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

  1. Rabarison KM, Croston MA, Englar NK, Bish CL, Flynn SM, Johnson CC. Measuring Audience Engagement for Public Health Twitter Chats: Insights From #LiveFitNOLA. JMIR Public Health and Surveillance 2017;3(2):e34
    CrossRef
  2. Tursunbayeva A, Franco M, Pagliari C. Use of social media for e-Government in the public health sector: A systematic review of published studies. Government Information Quarterly 2017;34(2):270
    CrossRef
  3. Gesser-Edelsburg A, Shir-Raz Y, Walter N, Mordini E, Dimitriou D, James JJ, Green MS. The Public Sphere in Emerging Infectious Disease Communication: Recipient or Active and Vocal Partner?. Disaster Medicine and Public Health Preparedness 2015;9(4):447
    CrossRef
  4. Jiang S, Beaudoin CE. Smoking Prevention in China: A Content Analysis of an Anti-Smoking Social Media Campaign. Journal of Health Communication 2016;21(7):755
    CrossRef
  5. Pinho-Costa L, Yakubu K, Hoedebecke K, Laranjo L, Reichel CP, Colon-Gonzalez MDC, Neves AL, Errami H. Healthcare hashtag index development: Identifying global impact in social media. Journal of Biomedical Informatics 2016;63:390
    CrossRef
  6. Saxton GD, Waters RD. What do StakeholdersLikeon Facebook? Examining Public Reactions to Nonprofit Organizations’ Informational, Promotional, and Community-Building Messages. Journal of Public Relations Research 2014;26(3):280
    CrossRef
  7. Zhu JM, Sarker A, Gollust S, Merchant R, Grande D. Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach. Journal of Medical Internet Research 2020;22(8):e18401
    CrossRef
  8. Gesser-Edelsburg A, Abed Elhadi Shahbari N, Cohen R, Mir Halavi A, Hijazi R, Paz-Yaakobovitch G, Birman Y. Differences in Perceptions of Health Information Between the Public and Health Care Professionals: Nonprobability Sampling Questionnaire Survey. Journal of Medical Internet Research 2019;21(7):e14105
    CrossRef
  9. Regan , Raats M, Shan LC, Wall PG, McConnon . Risk communication and social media during food safety crises: a study of stakeholders’ opinions in Ireland. Journal of Risk Research 2016;19(1):119
    CrossRef
  10. . A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in a Health Campaign. Journal of Health Communication 2016;21(5):517
    CrossRef
  11. Hand RK, Kenne D, Wolfram TM, Abram JK, Fleming M. Assessing the Viability of Social Media for Disseminating Evidence-Based Nutrition Practice Guideline Through Content Analysis of Twitter Messages and Health Professional Interviews: An Observational Study. Journal of Medical Internet Research 2016;18(11):e295
    CrossRef
  12. . Retweeting in health promotion: Analysis of tweets about Breast Cancer Awareness Month. Computers in Human Behavior 2017;74:112
    CrossRef
  13. Lee JL, DeCamp M, Dredze M, Chisolm MS, Berger ZD. What Are Health-Related Users Tweeting? A Qualitative Content Analysis of Health-Related Users and Their Messages on Twitter. Journal of Medical Internet Research 2014;16(10):e237
    CrossRef
  14. Tufts C, Polsky D, Volpp KG, Groeneveld PW, Ungar L, Merchant RM, Pelullo AP. Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis. JMIR Public Health and Surveillance 2018;4(4):e10834
    CrossRef
  15. Liu X, Lu J, Wang H. When Health Information Meets Social Media: Exploring Virality on Sina Weibo. Health Communication 2017;32(10):1252
    CrossRef
  16. Hart M, Stetten N, Castaneda G. Considerations for Public Health Organizations Attempting to Implement a Social Media Presence: A Qualitative Study. JMIR Public Health and Surveillance 2016;2(1):e6
    CrossRef
  17. Salem J, Borgmann H, Bultitude M, Fritsche H, Haferkamp A, Heidenreich A, Miernik A, Neisius A, Knoll T, Thomas C, Tsaur I, Sands JM. Online Discussion on #KidneyStones: A Longitudinal Assessment of Activity, Users and Content. PLOS ONE 2016;11(8):e0160863
    CrossRef
  18. Novillo-Ortiz D, Hernández-Pérez T. Social media in public health: an analysis of national health authorities and leading causes of death in Spanish-speaking Latin American and Caribbean countries. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef
  19. Little RJA, West BT, Boonstra PS, Hu J. Measures of the Degree of Departure from Ignorable Sample Selection. Journal of Survey Statistics and Methodology 2020;8(5):932
    CrossRef
  20. Chung A, Woo H, Lee K. Understanding the information diffusion of tweets of a non-profit organization that targets female audiences: an examination of Women Who Code's tweets. Journal of Communication Management 2020;25(1):68
    CrossRef
  21. Chen Q, Min C, Zhang W, Ma X, Evans R. Factors Driving Citizen Engagement With Government TikTok Accounts During the COVID-19 Pandemic: Model Development and Analysis. Journal of Medical Internet Research 2021;23(2):e21463
    CrossRef
  22. Lund BD, Wang T. Information Dissemination and Interactions in Higher Education Social Media Posts. Journal of Promotion Management 2021;27(4):547
    CrossRef
  23. Slavik CE, Darlington JC, Buttle C, Sturrock SL, Yiannakoulias N. Has public health messaging during the COVID-19 pandemic reflected local risks to health?: A content analysis of tweeting practices across Canadian geographies. Health & Place 2021;69:102568
    CrossRef
  24. Pinto PA, Lopes Antunes MJ, Pisco Almeida AM. Public Health on Instagram: an analysis of health promotion strategies of Portugal and Brazil. Procedia Computer Science 2021;181:231
    CrossRef
  25. Slavik CE, Buttle C, Sturrock SL, Darlington JC, Yiannakoulias N. Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis. Journal of Medical Internet Research 2021;23(3):e24883
    CrossRef
  26. Grond SE, Kallies G, McCormick ME. Parental and provider perspectives on social media about ankyloglossia. International Journal of Pediatric Otorhinolaryngology 2021;146:110741
    CrossRef
  27. Davies SH, Langer MD, Klein A, Gonzalez-Hernandez G, Dowshen N. Adolescent Perceptions of Menstruation on Twitter: Opportunities for Advocacy and Education. Journal of Adolescent Health 2022;71(1):94
    CrossRef
  28. DePaula N, Hagen L, Roytman S, Alnahass D. Platform Effects on Public Health Communication: A Comparative and National Study of Message Design and Audience Engagement Across Twitter and Facebook. JMIR Infodemiology 2022;2(2):e40198
    CrossRef
  29. Liu J, Lu C, Lu S. Research on the Influencing Factors of Audience Popularity Level of COVID-19 Videos during the COVID-19 Pandemic. Healthcare 2021;9(9):1159
    CrossRef
  30. Yue CA, Qin YS, Vielledent M, Men LR, Zhou A. Leadership going social: How U.S. nonprofit executives engage publics on Twitter. Telematics and Informatics 2021;65:101710
    CrossRef
  31. Handing GE, Westrum AM, Sweeney DD, Metzler IS, Schneck FX, Ching CB. Marketing yourself in social media as a global health organization: lessons to be learned. World Journal of Urology 2023;41(12):3801
    CrossRef
  32. ÇONAK , ÖNDER E. Sentiment analysis in social networks of health institutions. Bitlis Eren University Journal of Science and Technology 2023;13(1):38
    CrossRef
  33. Karami A, Lundy M, Webb F, Dwivedi YK. Twitter and Research: A Systematic Literature Review Through Text Mining. IEEE Access 2020;8:67698
    CrossRef
  34. Brassel S, Brunner M, Campbell A, Power E, Togher L. Exploring Discussions About Virtual Reality on Twitter to Inform Brain Injury Rehabilitation: Content and Network Analysis. Journal of Medical Internet Research 2024;26:e45168
    CrossRef
  35. Kusudo M, Terada M, Kureyama N, Wanifuchi-Endo Y, Fujita T, Asano T, Kato A, Mori M, Horisawa N, Toyama T. Characterizing user demographics in posts related to breast, lung and colon cancer on Japanese twitter (X). Scientific Reports 2024;14(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3002):

  1. Meriç E, Çakıcı Z. Transformed Communication Codes in the Mediated World. 2023. chapter 1:1
    CrossRef