Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 20.11.13 in Vol 15, No 11 (2013): November

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

Works citing "Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study"

Ni Zhang, Shelly Campo, Kathleen F Janz, Petya Eckler, Jingzhen Yang, Linda G Snetselaar, Alessio Signorini

J Med Internet Res 2013 (Nov 20); 15(11):e261 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2870):

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

  1. Cesare N, Dwivedi P, Nguyen QC, Nsoesie EO. Use of social media, search queries, and demographic data to assess obesity prevalence in the United States. Palgrave Communications 2019;5(1)
    CrossRef
  2. Zhang N, Campo S, Yang J, Eckler P, Snetselaar L, Janz K, Leary E. What Motivates Young Adults to Talk About Physical Activity on Social Network Sites?. Journal of Medical Internet Research 2017;19(6):e226
    CrossRef
  3. Kelley DE, Brown M, Murray A, Blake KD. Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis. JMIR Public Health and Surveillance 2019;5(4):e12878
    CrossRef
  4. Huang D, Huang Y, Khanna S, Dwivedi P, Slopen N, Green KM, He X, Puett R, Nguyen Q. Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample. JMIR Public Health and Surveillance 2020;6(3):e17969
    CrossRef
  5. Timmins KA, Green MA, Radley D, Morris MA, Pearce J. How has big data contributed to obesity research? A review of the literature. International Journal of Obesity 2018;42(12):1951
    CrossRef
  6. Middleton L, Hall H, Raeside R. Applications and applicability of Social Cognitive Theory in information science research. Journal of Librarianship and Information Science 2019;51(4):927
    CrossRef
  7. Wang S, Paul MJ, Dredze M. Social Media as a Sensor of Air Quality and Public Response in China. Journal of Medical Internet Research 2015;17(3):e22
    CrossRef
  8. Sullivan L, Harvey HH, Smith GA, Yang J. Putting Policy Into Practice: School-Level Compliance With and Implementation of State Concussion Laws. Journal of Public Health Management and Practice 2020;26(2):S84
    CrossRef
  9. Liu JS, Ho MH, Lu LYY, Xiao G. Recent Themes in Social Networking Service Research. PLOS ONE 2017;12(1):e0170293
    CrossRef
  10. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  11. Coxe K, Hamilton K, Harvey HH, Xiang J, Ramirez MR, Yang J. Consistency and Variation in School-Level Youth Sports Traumatic Brain Injury Policy Content. Journal of Adolescent Health 2018;62(3):255
    CrossRef
  12. 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
  13. Nguyen QC, McCullough M, Meng H, Paul D, Li D, Kath S, Loomis G, Nsoesie EO, Wen M, Smith KR, Li F. Geotagged US Tweets as Predictors of County-Level Health Outcomes, 2015–2016. American Journal of Public Health 2017;107(11):1776
    CrossRef
  14. Kim Y, Huang J, Emery S. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection. Journal of Medical Internet Research 2016;18(2):e41
    CrossRef
  15. Katsuki T, Mackey TK, Cuomo R. Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data. Journal of Medical Internet Research 2015;17(12):e280
    CrossRef
  16. Nguyen QC, Kath S, Meng H, Li D, Smith KR, VanDerslice JA, Wen M, Li F. Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity. Applied Geography 2016;73:77
    CrossRef
  17. Gurajala S, Dhaniyala S, Matthews JN. Understanding Public Response to Air Quality Using Tweet Analysis. Social Media + Society 2019;5(3):205630511986765
    CrossRef
  18. Hamad EO, Savundranayagam MY, Holmes JD, Kinsella EA, Johnson AM. Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds. Journal of Medical Internet Research 2016;18(3):e60
    CrossRef
  19. Zhang N, Drake SA, Ding K. Message Appeals on an Instagram Account Promoting Seat Belt Use That Attract Adolescents and Young Adults: Elaboration-Likelihood Perspective Study. JMIR Formative Research 2020;4(9):e16800
    CrossRef
  20. Reavley NJ, Pilkington PD. Use of Twitter to monitor attitudes toward depression and schizophrenia: an exploratory study. PeerJ 2014;2:e647
    CrossRef
  21. McClellan C, Ali MM, Mutter R, Kroutil L, Landwehr J. Using social media to monitor mental health discussions − evidence from Twitter. Journal of the American Medical Informatics Association 2017;24(3):496
    CrossRef
  22. Drake SA, Zhang N, Applewhite C, Fowler K, Holcomb JB. A social media program to increase adolescent seat belt use. Public Health Nursing 2017;34(5):500
    CrossRef
  23. Nguyen QC, Brunisholz KD, Yu W, McCullough M, Hanson HA, Litchman ML, Li F, Wan Y, VanDerslice JA, Wen M, Smith KR. Twitter-derived neighborhood characteristics associated with obesity and diabetes. Scientific Reports 2017;7(1)
    CrossRef
  24. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
    CrossRef
  25. Pinkerton S, Tobin JL, Querfurth SC, Pena IM, Wilson KS. “Those sweet, sweet likes”: Sharing physical activity over social network sites. Computers in Human Behavior 2017;69:128
    CrossRef
  26. Burke-Garcia A, Stanton CA. A tale of two tools: Reliability and feasibility of social media measurement tools examining e-cigarette twitter mentions. Informatics in Medicine Unlocked 2017;8:8
    CrossRef
  27. Ishfaq U, Khan HU, Iqbal S, Alghobiri M. Finding influential users in microblogs: state-of-the-art methods and open research challenges. Behaviour & Information Technology 2022;41(10):2215
    CrossRef
  28. ÇELİK E, KILIÇER T. SEZGİSEL SİSTEMATİK MODEL PERSPEKTİFİNDEN FENOMEN ANNELERİN e-AĞIZDAN AĞIZA PAZARLAMA SÜRECİNDEKİ ROLÜ ÜZERİNE BİR ARAŞTIRMA. Uluslararası İktisadi ve İdari İncelemeler Dergisi 2022;(35):195
    CrossRef
  29. Xu G, Feng X, Li Y, Jia J. Mediation effects of online public attention on the relationship between air pollution and precautionary behavior. Journal of Management Science and Engineering 2022;7(1):159
    CrossRef
  30. Bonifazi G, Corradini E, Ursino D, Virgili L. Modeling, Evaluating, and Applying the eWoM Power of Reddit Posts. Big Data and Cognitive Computing 2023;7(1):47
    CrossRef
  31. . Inference with non-probability samples and survey data integration: a science mapping study. METRON 2023;81(1):83
    CrossRef
  32. . Restructuring Priorities: Rethinking Economic Growth for a More Active Future. Leisure Sciences 2023;:1
    CrossRef