Published on in Vol 16, No 4 (2014): April

Mapping Physician Twitter Networks: Describing How They Work as a First Step in Understanding Connectivity, Information Flow, and Message Diffusion

Mapping Physician Twitter Networks: Describing How They Work as a First Step in Understanding Connectivity, Information Flow, and Message Diffusion

Mapping Physician Twitter Networks: Describing How They Work as a First Step in Understanding Connectivity, Information Flow, and Message Diffusion

Journals

  1. 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 View
  2. Little R, West B, Boonstra P, Hu J. Measures of the Degree of Departure from Ignorable Sample Selection. Journal of Survey Statistics and Methodology 2020;8(5):932 View
  3. Cumbraos-Sánchez M, Hermoso R, Iñiguez D, Paño-Pardo J, Allende Bandres M, Latorre Martinez M. Qualitative and quantitative evaluation of the use of Twitter as a tool of antimicrobial stewardship. International Journal of Medical Informatics 2019;131:103955 View
  4. Lee J, DeCamp M, Dredze M, Chisolm M, Berger Z. 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 View
  5. Griffiths F, Dobermann T, Cave J, Thorogood M, Johnson S, Salamatian K, Gomez Olive F, Goudge J. The Impact of Online Social Networks on Health and Health Systems: A Scoping Review and Case Studies. Policy & Internet 2015;7(4):473 View
  6. Chretien K, Tuck M, Simon M, Singh L, Kind T. A Digital Ethnography of Medical Students who Use Twitter for Professional Development. Journal of General Internal Medicine 2015;30(11):1673 View
  7. Han G, Zhu D, Kothari N. Strategic use of Twitter as a source of health information: a pilot study with textual analysis of health tweets. Informatics for Health and Social Care 2019;44(4):422 View
  8. Rodriguez-Morales A, Castañeda-Hernández D, McGregor A. What makes people talk about Ebola on social media? A retrospective analysis of Twitter use. Travel Medicine and Infectious Disease 2015;13(1):100 View
  9. Sugimoto C, Work S, Larivière V, Haustein S. Scholarly use of social media and altmetrics: A review of the literature. Journal of the Association for Information Science and Technology 2017;68(9):2037 View
  10. Pinho-Costa L, Yakubu K, Hoedebecke K, Laranjo L, Reichel C, Colon-Gonzalez M, Neves A, Errami H. Healthcare hashtag index development: Identifying global impact in social media. Journal of Biomedical Informatics 2016;63:390 View
  11. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  12. Triemstra J, Poeppelman R, Arora V. Correlations Between Hospitals’ Social Media Presence and Reputation Score and Ranking: Cross-Sectional Analysis. Journal of Medical Internet Research 2018;20(11):e289 View
  13. Rolls K, Hansen M, Jackson D, Elliott D. How Health Care Professionals Use Social Media to Create Virtual Communities: An Integrative Review. Journal of Medical Internet Research 2016;18(6):e166 View
  14. Roland D, Spurr J, Cabrera D. Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics. Journal of Medical Internet Research 2017;19(7):e252 View
  15. Cawcutt K. Twitter Me This—Can Social Media Revolutionize Academic Medicine?. Infection Control & Hospital Epidemiology 2017;38(12):1501 View
  16. Salgia N, Feng M, Prajapati D, Harwood R, Nissanoff M, Dara Y, Ruel N, Salgia M, Pal S. Examining the Association of Academic Rank and Productivity with Metrics of Twitter Utilization Amongst Kidney Cancer Specialists. Kidney Cancer 2020;4(2):103 View
  17. Peiper N, Baumgartner P, Chew R, Hsieh Y, Bieler G, Bobashev G, Siege C, Zarkin G. Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California. Journal of Medical Internet Research 2017;19(7):e236 View
  18. Prabhu V, Rosenkrantz A. Enriched Audience Engagement Through Twitter: Should More Academic Radiology Departments Seize the Opportunity?. Journal of the American College of Radiology 2015;12(7):756 View
  19. Utengen A, Rouholiman D, Gamble J, Grajales III F, Pradhan N, Staley A, Bernstein L, Young S, Clauson K, Chu L. Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or Researchers. Journal of Medical Internet Research 2017;19(8):e280 View
  20. Ma R, Deng Z, Wu M. Effects of Health Information Dissemination on User Follows and Likes during COVID-19 Outbreak in China: Data and Content Analysis. International Journal of Environmental Research and Public Health 2020;17(14):5081 View
  21. Salvatore C, Biffignandi S, Bianchi A. Social Media and Twitter Data Quality for New Social Indicators. Social Indicators Research 2020 View
  22. Wang Z, Rui X, Yuan G, Cui J, Hadzibeganovic T. Endemic information-contagion outbreaks in complex networks with potential spreaders based recurrent-state transmission dynamics. Physica A: Statistical Mechanics and its Applications 2021;573:125907 View
  23. Oltmann C, Otis-Green S, Blackburn P, Maasdorp V, D’Urbano E, Lema D, Thomas P, Roulston A, Firth P, Remke S. International Collaboration in the Time of COVID-19: The World Hospice and Palliative Care Social Work Network. Journal of Social Work in End-of-Life & Palliative Care 2021:1 View
  24. Margus C, Brown N, Hertelendy A, Safferman M, Hart A, Ciottone G. Social Media and the Surge: Emergency physician Twitter use in the Covid-19 pandemic as a potential predictor of impending surge. (Preprint). Journal of Medical Internet Research 2021 View

Books/Policy Documents

  1. Zia K, Farooq U, Al-Maskari S, Shafi M. Computational Science – ICCS 2021. View