Published on in Vol 18 , No 11 (2016) :November

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

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

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

Journals

  1. Kudlow P, Cockerill M, Toccalino D, Dziadyk D, Rutledge A, Shachak A, McIntyre R, Ravindran A, Eysenbach G. Online distribution channel increases article usage on Mendeley: a randomized controlled trial. Scientometrics 2017;112(3):1537 View
  2. Subirats L, Reguera N, Bañón A, Gómez-Zúñiga B, Minguillón J, Armayones M. Mining Facebook Data of People with Rare Diseases: A Content-Based and Temporal Analysis. International Journal of Environmental Research and Public Health 2018;15(9):1877 View
  3. Meah V, Kimber M, Simpson J, Davenport M. Knowledge translation and social media: Twitter data analysis of the 2019 Canadian Guideline for Physical Activity throughout Pregnancy. Canadian Journal of Public Health 2020;111(6):1049 View
  4. Pejić Bach M, Pulido C, Suša Vugec D, Ionescu V, Redondo-Sama G, Ruiz-Eugenio L. Fostering Social Project Impact with Twitter: Current Usage and Perspectives. Sustainability 2020;12(15):6290 View
  5. Jiang X, Jiang W, Cai J, Su Q, Zhou Z, He L, Lai K. Characterizing Media Content and Effects of Organ Donation on a Social Media Platform: Content Analysis. Journal of Medical Internet Research 2019;21(3):e13058 View
  6. Cancio R. Addressing Military Sexual Violence by Proposing a Social Media Influencer Model. International Journal of Offender Therapy and Comparative Criminology 2021;65(8):937 View
  7. Karmegam D, Mapillairaju B. What people share about the COVID-19 outbreak on Twitter? An exploratory analysis. BMJ Health & Care Informatics 2020;27(3):e100133 View
  8. Xiong X, Lai K, Jiang W, Sun X, Dong J, Yao Z, He L. Understanding public opinion regarding organ donation in China: A social media content analysis. Science Progress 2021;104(2):003685042110096 View
  9. Motyka M, Al-Imam A. Representations of Psychoactive Drugs’ Use in Mass Culture and Their Impact on Audiences. International Journal of Environmental Research and Public Health 2021;18(11):6000 View
  10. Grantham J, Verishagen C, Whiting S, Henry C, Lieffers J. Evaluation of a social media campaign in Saskatchewan to promote healthy eating during the COVID-19 pandemic (Preprint). Journal of Medical Internet Research 2021 View
  11. Le L, Hoang P, Pham H. Sharing health information across online platforms: A systematic review. Health Communication 2022:1 View
  12. Machado G, Braga M. Users' passivity in accessing digested scientific evidence through social media: cross-sectional insights. BMC Research Notes 2022;15(1) View
  13. Karmegam D, Mappillairaju B. Social media analytics and reachability evaluation - #Diabetes. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2022;16(1):102359 View
  14. Charbonneau E, Mellouli S, Chouikh A, Couture L, Desroches S. The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets. JMIR Infodemiology 2022;2(2):e38573 View
  15. Castle J, Adatorwovor R, Levy B, Marcinkowski E, Merritt A, Stapleton J, Burke E. Completion Lymph Node Dissection for Melanoma Before and After the Multicenter Selective Lymphadenectomy Trial-II in the United States. Annals of Surgical Oncology 2023;30(2):1184 View
  16. Fredericks S, Bae T, Sochaniwskyj M, Sanders J, Martorella G, Wynne R. Creating a social media strategy for an international cardiothoracic research network: a scoping review. European Journal of Cardiovascular Nursing 2023 View