Published on 19.06.15 in Vol 17, No 6 (2015): June
Works citing "Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4220):
(note that this is only a small subset of citations)
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Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of Medical Internet Research 2017;19(9):e315
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Davis MA, Zheng K, Liu Y, Levy H. Public Response to Obamacare on Twitter. Journal of Medical Internet Research 2017;19(5):e167
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Bousquet C, Dahamna B, Guillemin-Lanne S, Darmoni SJ, Faviez C, Huot C, Katsahian S, Leroux V, Pereira S, Richard C, Schück S, Souvignet J, Lillo-Le Louët A, Texier N. The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process. JMIR Research Protocols 2017;6(9):e179
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Zucco R, Lavano F, Anfosso R, Bianco A, Pileggi C, Pavia M. Internet and social media use for antibiotic-related information seeking: Findings from a survey among adult population in Italy. International Journal of Medical Informatics 2018;111:131
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Johnsen JK, Eggesvik TB, Rørvik TH, Hanssen MW, Wynn R, Kummervold PE. Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content. JMIR Public Health and Surveillance 2019;5(1):e10432
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Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1
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Chen S, Xu Q, Buchenberger J, Bagavathi A, Fair G, Shaikh S, Krishnan S. Dynamics of Health Agency Response and Public Engagement in Public Health Emergency: A Case Study of CDC Tweeting Patterns During the 2016 Zika Epidemic. JMIR Public Health and Surveillance 2018;4(4):e10827
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Albalawi Y, Sixsmith J. Agenda Setting for Health Promotion: Exploring an Adapted Model for the Social Media Era. JMIR Public Health and Surveillance 2015;1(2):e21
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Du J, Tang L, Xiang Y, Zhi D, Xu J, Song H, Tao C. Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models. Journal of Medical Internet Research 2018;20(7):e236
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Radzikowski J, Stefanidis A, Jacobsen KH, Croitoru A, Crooks A, Delamater PL. The Measles Vaccination Narrative in Twitter: A Quantitative Analysis. JMIR Public Health and Surveillance 2016;2(1):e1
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Cumbraos-Sánchez MJ, Hermoso R, Iñiguez D, Paño-Pardo JR, Allende Bandres M, Latorre Martinez MP. Qualitative and quantitative evaluation of the use of Twitter as a tool of antimicrobial stewardship. International Journal of Medical Informatics 2019;131:103955
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Anderson A, Angelillo IF. Online health information and public knowledge, attitudes, and behaviours regarding antibiotics in the UK: Multiple regression analysis of Wellcome Monitor and Eurobarometer Data. PLOS ONE 2018;13(10):e0204878
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Hale AR, Young VL, Grand A, McNulty CAM. Can Gaming Increase Antibiotic Awareness in Children? A Mixed-Methods Approach. JMIR Serious Games 2017;5(1):e5
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Kim AE, Hopper T, Simpson S, Nonnemaker J, Lieberman AJ, Hansen H, Guillory J, Porter L. Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study. Journal of Medical Internet Research 2015;17(11):e251
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Ravi D, Wong C, Deligianni F, Berthelot M, Andreu-Perez J, Lo B, Yang G. Deep Learning for Health Informatics. IEEE Journal of Biomedical and Health Informatics 2017;21(1):4
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KÜÇÜK D, ARICI N, KÜÇÜK EE. Sosyal medyada otomatik halk sağlığı takibi: Güncel bir derleme. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 2021;
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Eibensteiner F, Ritschl V, Nawaz FA, Fazel SS, Tsagkaris C, Kulnik ST, Crutzen R, Klager E, Völkl-Kernstock S, Schaden E, Kletecka-Pulker M, Willschke H, Atanasov AG. People’s Willingness to Vaccinate Against COVID-19 Despite Their Safety Concerns: Twitter Poll Analysis. Journal of Medical Internet Research 2021;23(4):e28973
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Emmott R, Barber SK, Thompson W. Antibiotics and toothache: a social media review. International Journal of Pharmacy Practice 2021;29(3):210
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. Emotional effect of the Covid-19 pandemic on oral surgery procedures: a social media analysis. Journal of Dental Anesthesia and Pain Medicine 2021;21(3):237
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. Attitudes towards vaccination and knowledge about antibiotics: Analysis of Wellcome Monitor survey data. Vaccine 2022;40(22):3038
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Ritschl V, Eibensteiner F, Mosor E, Omara M, Sperl L, Nawaz FA, Siva Sai C, Cenanovic M, Devkota HP, Hribersek M, De R, Klager E, Schaden E, Kletecka-Pulker M, Völkl-Kernstock S, Willschke H, Aufricht C, Atanasov AG, Stamm T. Mandatory Vaccination Against COVID-19: Twitter Poll Analysis on Public Health Opinion. JMIR Formative Research 2022;6(6):e35754
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Kim I, Begay C, Ma HJ, Orozco FR, Rogers CJ, Valente TW, Unger JB. E-Cigarette–Related Health Beliefs Expressed on Twitter Within the U.S.. AJPM Focus 2023;2(2):100067
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.4220):
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Thaler S, Menkovski V. Data Science for Healthcare. 2019. Chapter 3:75
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. Intelligent Nanotechnology. 2023. :307
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Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 90:1843
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G. D, Karegowda AG. Deep Learning Applications and Intelligent Decision Making in Engineering. 2021. chapter 1:1
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Slavescu RR, Pop F, Slavescu KC. 7th International Conference on Advancements of Medicine and Health Care through Technology. 2022. Chapter 29:259
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