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Citing this Article

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Published on 05.12.16 in Vol 18, No 12 (2016): December

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

Works citing "Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6670):

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

  1. Bian J, Zhao Y, Salloum RG, Guo Y, Wang M, Prosperi M, Zhang H, Du X, Ramirez-Diaz LJ, He Z, Sun Y. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome. Journal of Medical Internet Research 2017;19(12):e414
    CrossRef
  2. Visweswaran S, Colditz JB, O’Halloran P, Han N, Taneja SB, Welling J, Chu K, Sidani JE, Primack BA. Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study. Journal of Medical Internet Research 2020;22(8):e17478
    CrossRef
  3. Puri N, Coomes EA, Haghbayan H, Gunaratne K. Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases. Human Vaccines & Immunotherapeutics 2020;16(11):2586
    CrossRef
  4. Massey PM, Budenz A, Leader A, Fisher K, Klassen AC, Yom-Tov E. What Drives Health Professionals to Tweet About #HPVvaccine? Identifying Strategies for Effective Communication. Preventing Chronic Disease 2018;15
    CrossRef
  5. Pemmaraju N, Thompson MA, Qazilbash M. Disease-specific hashtags and the creation of Twitter medical communities in hematology and oncology. Seminars in Hematology 2017;54(4):189
    CrossRef
  6. Teoh D, Shaikh R, Vogel RI, Zoellner T, Carson L, Kulasingam S, Lou E. A Cross-Sectional Review of Cervical Cancer Messages on Twitter During Cervical Cancer Awareness Month. Journal of Lower Genital Tract Disease 2018;22(1):8
    CrossRef
  7. Kearney MD, Selvan P, Hauer MK, Leader AE, Massey PM. Characterizing HPV Vaccine Sentiments and Content on Instagram. Health Education & Behavior 2019;46(2_suppl):37S
    CrossRef
  8. Lama Y, Chen T, Dredze M, Jamison A, Quinn SC, Broniatowski DA. Discordance Between Human Papillomavirus Twitter Images and Disparities in Human Papillomavirus Risk and Disease in the United States: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(9):e10244
    CrossRef
  9. Amith M, Cohen T, Cunningham R, Savas LS, Smith N, Cuccaro P, Gabay E, Boom J, Schvaneveldt R, Tao C. Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks. Cancer Control 2020;27(1):107327481989144
    CrossRef
  10. Featherstone JD, Ruiz JB, Barnett GA, Millam BJ. Exploring childhood vaccination themes and public opinions on Twitter: A semantic network analysis. Telematics and Informatics 2020;54:101474
    CrossRef
  11. Le GM, Radcliffe K, Lyles C, Lyson HC, Wallace B, Sawaya G, Pasick R, Centola D, Sarkar U, Gruebner O. Perceptions of cervical cancer prevention on Twitter uncovered by different sampling strategies. PLOS ONE 2019;14(2):e0211931
    CrossRef
  12. Ortiz RR, Smith A, Coyne-Beasley T. A systematic literature review to examine the potential for social media to impact HPV vaccine uptake and awareness, knowledge, and attitudes about HPV and HPV vaccination. Human Vaccines & Immunotherapeutics 2019;15(7-8):1465
    CrossRef
  13. Su Z, Chengbo Z, Mackert M. Understanding the influenza vaccine as a consumer health technology: a structural equation model of motivation, behavioral expectation, and vaccine adoption. Journal of Communication in Healthcare 2019;12(3-4):170
    CrossRef
  14. Teoh D. The Power of Social Media for HPV Vaccination–Not Fake News!. American Society of Clinical Oncology Educational Book 2019;(39):75
    CrossRef
  15. Stephens AB, Wynn CS, Stockwell MS. Understanding the use of digital technology to promote human papillomavirus vaccination – A RE-AIM framework approach. Human Vaccines & Immunotherapeutics 2019;15(7-8):1549
    CrossRef
  16. Kunneman F, Lambooij M, Wong A, Bosch AVD, Mollema L. Monitoring stance towards vaccination in twitter messages. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  17. Rosen BL, Wheldon C, Thompson EL, Maness S, Massey PM. Social media engagement association with human papillomavirus and vaccine awareness and perceptions: Results from the 2017 US Health Information National Trends Survey. Preventive Medicine 2020;138:106151
    CrossRef
  18. Zhao Y, Cheng S, Yu X, Xu H. Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study. Journal of Medical Internet Research 2020;22(5):e18825
    CrossRef
  19. Deiner MS, Fathy C, Kim J, Niemeyer K, Ramirez D, Ackley SF, Liu F, Lietman TM, Porco TC. Facebook and Twitter vaccine sentiment in response to measles outbreaks. Health Informatics Journal 2019;25(3):1116
    CrossRef
  20. Chakraborty P, Colditz JB, Silvestre AJ, Friedman MR, Bogen KW, Primack BA, Lee A. Observation of public sentiment toward human papillomavirus vaccination on Twitter. Cogent Medicine 2017;4(1):1390853
    CrossRef
  21. Ernst K, Shelby A. Social Media in the Exam Room: Stories of Human Papillomavirus Disease and Prevention. Academic Pediatrics 2018;18(2):S19
    CrossRef
  22. Toloza FJK, Espinoza Suarez NR, El Kawkgi O, Golembiewski EH, Ponce OJ, Yao L, Maraka S, Singh Ospina NM, Brito JP. Patient Experiences and Perceptions Associated with the Use of Desiccated Thyroid Extract. Medicina 2020;56(4):161
    CrossRef
  23. Himelboim I, Xiao X, Lee DKL, Wang MY, Borah P. A Social Networks Approach to Understanding Vaccine Conversations on Twitter: Network Clusters, Sentiment, and Certainty in HPV Social Networks. Health Communication 2020;35(5):607
    CrossRef
  24. Li J, Zheng H. Coverage of HPV-Related Information on Chinese Social Media: a Content Analysis of Articles in Zhihu. Human Vaccines & Immunotherapeutics 2020;16(10):2548
    CrossRef
  25. Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130
    CrossRef
  26. Edo-Osagie O, De La Iglesia B, Lake I, Edeghere O. A scoping review of the use of Twitter for public health research. Computers in Biology and Medicine 2020;122:103770
    CrossRef
  27. dos Santos BS, Steiner MTA, Fenerich AT, Lima RHP. Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018. Computers & Industrial Engineering 2019;138:106120
    CrossRef
  28. Budenz A, Klassen A, Leader A, Fisher K, Yom-Tov E, Massey P. HPV vaccine, Twitter, and gay, bisexual and other men who have sex with men. Health Promotion International 2020;35(2):290
    CrossRef
  29. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  30. Metwally O, Blumberg S, Ladabaum U, Sinha SR. Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study. Journal of Medical Internet Research 2017;19(6):e200
    CrossRef
  31. Kecojevic A, Basch C, Basch C, Kernan W. Pre-Exposure Prophylaxis YouTube Videos: Content Evaluation. JMIR Public Health and Surveillance 2018;4(1):e19
    CrossRef
  32. Myhre A, Xiong T, Vogel RI, Teoh D. Associations between risk-perception, self-efficacy and vaccine response-efficacy and parent/guardian decision-making regarding adolescent HPV vaccination. Papillomavirus Research 2020;10:100204
    CrossRef
  33. Massey PM, Kearney MD, Hauer MK, Selvan P, Koku E, Leader AE. Dimensions of Misinformation About the HPV Vaccine on Instagram: Content and Network Analysis of Social Media Characteristics. Journal of Medical Internet Research 2020;22(12):e21451
    CrossRef
  34. Calo WA, Gilkey MB, Shah PD, Dyer A, Margolis MA, Dailey SA, Brewer NT. Misinformation and other elements in HPV vaccine tweets: an experimental comparison. Journal of Behavioral Medicine 2021;
    CrossRef
  35. Lama Y, Quinn SC, Nan X, Cruz-Cano R. Social media use and human papillomavirus awareness and knowledge among adults with children in the household: examining the role of race, ethnicity, and gender. Human Vaccines & Immunotherapeutics 2020;:1
    CrossRef
  36. Piedrahita-Valdés H, Piedrahita-Castillo D, Bermejo-Higuera J, Guillem-Saiz P, Bermejo-Higuera JR, Guillem-Saiz J, Sicilia-Montalvo JA, Machío-Regidor F. Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019. Vaccines 2021;9(1):28
    CrossRef
  37. Karafillakis E, Martin S, Simas C, Olsson K, Takacs J, Dada S, Larson HJ. Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review. JMIR Public Health and Surveillance 2021;7(2):e17149
    CrossRef
  38. Argyris Y, Kim Y, Song W, Roscizewski A. Maternal Engagement with Vaccine-Skeptical and Advocating Content on Social Media and Their Adolescent Children’s HPV Vaccination Rates: A Web- and Mobile-Based Survey among US Mothers of Adolescents (Preprint). JMIR Pediatrics and Parenting 2020;
    CrossRef
  39. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187
    CrossRef
  40. Rodríguez-González A, Tuñas JM, Prieto Santamaría L, Fernández Peces-Barba D, Menasalvas Ruiz E, Jaramillo A, Cotarelo M, Conejo Fernández AJ, Arce A, Gil A. Identifying Polarity in Tweets from an Imbalanced Dataset about Diseases and Vaccines Using a Meta-Model Based on Machine Learning Techniques. Applied Sciences 2020;10(24):9019
    CrossRef
  41. Pan S, Zhang D, Zhang J. Caught in the Crossfire: How Contradictory Information and Norms on Social Media Influence Young Women’s Intentions to Receive HPV Vaccination in the United States and China. Frontiers in Psychology 2020;11
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6670):

  1. Zhang H, Wheldon C, Tao C, Dunn AG, Guo Y, Huo J, Bian J. Social Web and Health Research. 2019. Chapter 11:207
    CrossRef
  2. Chen X, Hao T. Social Web and Health Research. 2019. Chapter 3:31
    CrossRef