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Citing this Article

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Published on 25.06.15 in Vol 17, No 6 (2015): June

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

Works citing "Mapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications"

Trevor van Mierlo, Douglas Hyatt, Andrew T Ching

J Med Internet Res 2015 (Jun 25); 17(6):e160 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4297):

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

  1. Joglekar S, Sastry N, Coulson NS, Taylor SJ, Patel A, Duschinsky R, Anand A, Jameson Evans M, Griffiths CJ, Sheikh A, Panzarasa P, De Simoni A. How Online Communities of People With Long-Term Conditions Function and Evolve: Network Analysis of the Structure and Dynamics of the Asthma UK and British Lung Foundation Online Communities. Journal of Medical Internet Research 2018;20(7):e238
    CrossRef
  2. Carron-Arthur B, Ali K, Cunningham JA, Griffiths KM. From Help-Seekers to Influential Users: A Systematic Review of Participation Styles in Online Health Communities. Journal of Medical Internet Research 2015;17(12):e271
    CrossRef
  3. Liqing Q, Jinfeng Y, Xin F, Wei J, Wenwen G. Analysis of Influence Maximization in Temporal Social Networks. IEEE Access 2019;7:42052
    CrossRef
  4. Yuan W, He K, Guan D, Han G. Edge-Dual Graph Preserving Sign Prediction for Signed Social Networks. IEEE Access 2017;5:19383
    CrossRef
  5. De Simoni A, Shah AT, Fulton O, Parkinson J, Sheikh A, Panzarasa P, Pagliari C, Coulson NS, Griffiths CJ. Superusers’ Engagement in Asthma Online Communities: Asynchronous Web-Based Interview Study. Journal of Medical Internet Research 2020;22(6):e18185
    CrossRef
  6. van Mierlo T, Hyatt D, Ching AT. Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks. Network Modeling Analysis in Health Informatics and Bioinformatics 2016;5(1)
    CrossRef
  7. Urbanoski K, van Mierlo T, Cunningham J. Investigating Patterns of Participation in an Online Support Group for Problem Drinking: a Social Network Analysis. International Journal of Behavioral Medicine 2017;24(5):703
    CrossRef
  8. van Mierlo T, Li X, Hyatt D, Ching AT. Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups. Journal of Medical Internet Research 2017;19(2):e40
    CrossRef
  9. Gopalsamy R, Semenov A, Pasiliao E, McIntosh S, Nikolaev A. Engagement as a Driver of Growth of Online Health Forums: Observational Study. Journal of Medical Internet Research 2017;19(8):e304
    CrossRef
  10. van Mierlo T, Hyatt D, Ching AT, Fournier R, Dembo RS. Behavioral Economics, Wearable Devices, and Cooperative Games: Results From a Population-Based Intervention to Increase Physical Activity. JMIR Serious Games 2016;4(1):e1
    CrossRef
  11. Sharma A, Colonna G. System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration. Molecular Diagnosis & Therapy 2021;25(1):9
    CrossRef
  12. . What makes an opinion leader: Expertise vs popularity. Games and Economic Behavior 2023;138:355
    CrossRef
  13. Rondina R, van Mierlo T, Fournier R. Testing Behavioral Nudges and Prompts in Digital Courses for the Self-guided Treatment of Depression and Anxiety: Protocol for a 3-Arm Randomized Controlled Trial. JMIR Research Protocols 2022;11(8):e37231
    CrossRef
  14. van Mierlo T, Rondina R, Fournier R. Nudges and Prompts Increase Engagement in Self-Guided Digital Health Treatment for Depression and Anxiety: Results From a 3-Arm Randomized Controlled Trial. JMIR Formative Research 2024;8:e52558
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.4297):

  1. . Cybersecurity in Nigeria. 2019. Chapter 2:3
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