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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641)

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

Authors of this article:

Ranit Mishori1 ;   Lisa Oberoi Singh2 ;   Brendan Levy3 ;   Calvin Newport2
Article Authors Cited by (34) Tweetations (73) Metrics

Journals

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  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
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  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 2021;156(2-3):601 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;17(2-3):137 View
  24. Margus C, Brown N, Hertelendy A, Safferman M, Hart A, Ciottone G. Emergency Physician Twitter Use in the COVID-19 Pandemic as a Potential Predictor of Impending Surge: Retrospective Observational Study. Journal of Medical Internet Research 2021;23(7):e28615 View
  25. Wu J, Sivaraman V, Kumar D, Banda J, Sontag D. Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media. Journal of Biomedical Informatics 2021;120:103844 View
  26. Cawcutt K, Marcelin J, Silver J. Using social media to disseminate research in infection prevention, hospital epidemiology, and antimicrobial stewardship. Infection Control & Hospital Epidemiology 2019;40(11):1262 View
  27. Pei X, Dang X. The medical health venture capital network community structure, information dissemination and the cognitive proximity. Applied Mathematics and Nonlinear Sciences 2022;7(2):803 View
  28. Corti L, Zanetti M, Tricella G, Bonati M. Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis. Journal of Big Data 2022;9(1) View
  29. Chen R, Muralidharan K, Samelson‐Jones B. Digital haemophilia: Insights into the use of social media for haemophilia care, research and advocacy. Haemophilia 2022;28(2):247 View
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Books/Policy Documents

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