Published on 06.09.13 in Vol 15, No 9 (2013): September
Works citing "An Exploration of Social Circles and Prescription Drug Abuse Through Twitter"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2741):
(note that this is only a small subset of citations)
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Ranney ML, Chang B, Freeman JR, Norris B, Silverberg M, Choo EK, Mycyk MB. Tweet Now, See You In the ED Later? Examining the Association Between Alcohol‐related Tweets and Emergency Care Visits. Academic Emergency Medicine 2016;23(7):831
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Lardon J, Abdellaoui R, Bellet F, Asfari H, Souvignet J, Texier N, Jaulent M, Beyens M, Burgun A, Bousquet C. Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review. Journal of Medical Internet Research 2015;17(7):e171
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Kim SJ, Marsch LA, Hancock JT, Das AK. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353
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Salimian PK, Chunara R, Weitzman ER. Averting the Perfect Storm: Addressing Youth Substance Use Risk From Social Media Use. Pediatric Annals 2014;43(10)
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Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
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Kelley DE, Brown M, Murray A, Blake KD. Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis. JMIR Public Health and Surveillance 2019;5(4):e12878
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Huesch M, Chetlen A, Segel J, Schetter S. Frequencies of Private Mentions and Sharing of Mammography and Breast Cancer Terms on Facebook: A Pilot Study. Journal of Medical Internet Research 2017;19(6):e201
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Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187
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Sarker A, DeRoos A, Perrone J. Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework. Journal of the American Medical Informatics Association 2020;27(2):315
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Li J, Xu Q, Shah N, Mackey TK. A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study. Journal of Medical Internet Research 2019;21(6):e13803
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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
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Cavazos-Rehg P, Krauss M, Grucza R, Bierut L. Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle. Journal of Medical Internet Research 2014;16(6):e157
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R. Scott K, Nelson L, Meisel Z, Perrone J. Opportunities for Exploring and Reducing Prescription Drug Abuse Through Social Media. Journal of Addictive Diseases 2015;34(2-3):178
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Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660
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Kresina TF, Lubran R, Clark HW. Technology-Assisted Addiction Treatment for Key Populations. Psychology 2014;05(09):1044
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Katsuki T, Mackey TK, Cuomo R. Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data. Journal of Medical Internet Research 2015;17(12):e280
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Kalyanam J, Katsuki T, R.G. Lanckriet G, Mackey TK. Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning. Addictive Behaviors 2017;65:289
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Zhang N, Campo S, Janz KF, Eckler P, Yang J, Snetselaar LG, Signorini A. Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study. Journal of Medical Internet Research 2013;15(11):e261
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Guerra C, Mackey TK. USA Criminal and Civil Prosecutions Associated with Illicit Online Pharmacies: Legal Analysis and Global Implications. Medicine Access @ Point of Care 2017;1:maapoc.0000020
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Cherian R, Westbrook M, Ramo D, Sarkar U. Representations of Codeine Misuse on Instagram: Content Analysis. JMIR Public Health and Surveillance 2018;4(1):e22
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Sarker A, Chandrashekar P, Magge A, Cai H, Klein A, Gonzalez G. Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis. Journal of Medical Internet Research 2017;19(10):e361
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Nicholson J, Marcum CD, Higgins GE. Predictors of Prescription Drug Misuse among High School Students in the United States. Deviant Behavior 2022;43(1):91
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Yin Z, Fabbri D, Rosenbloom ST, Malin B. A Scalable Framework to Detect Personal Health Mentions on Twitter. Journal of Medical Internet Research 2015;17(6):e138
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Arseniev-Koehler A, Lee H, McCormick T, Moreno MA. #Proana: Pro-Eating Disorder Socialization on Twitter. Journal of Adolescent Health 2016;58(6):659
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Sarker A, Ginn R, Nikfarjam A, O’Connor K, Smith K, Jayaraman S, Upadhaya T, Gonzalez G. Utilizing social media data for pharmacovigilance: A review. Journal of Biomedical Informatics 2015;54:202
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Murthy D, Eldredge M. Who tweets about cancer? An analysis of cancer-related tweets in the USA. DIGITAL HEALTH 2016;2:205520761665767
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Kalyanam J, Mackey TK. A Review of Digital Surveillance Methods and Approaches to Combat Prescription Drug Abuse. Current Addiction Reports 2017;4(4):397
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. Twitter and Health Science Research. Western Journal of Nursing Research 2015;37(10):1269
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Lardon J, Bellet F, Aboukhamis R, Asfari H, Souvignet J, Jaulent M, Beyens M, Lillo-LeLouët A, Bousquet C. Evaluating Twitter as a complementary data source for pharmacovigilance. Expert Opinion on Drug Safety 2018;17(8):763
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Thompson L, Rivara FP, Whitehill JM. Prevalence of Marijuana-Related Traffic on Twitter, 2012–2013: A Content Analysis. Cyberpsychology, Behavior, and Social Networking 2015;18(6):311
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Shutler L, Nelson LS, Portelli I, Blachford C, Perrone J. Drug Use in the Twittersphere: A Qualitative Contextual Analysis of Tweets About Prescription Drugs. Journal of Addictive Diseases 2015;34(4):303
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. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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Braithwaite SR, Giraud-Carrier C, West J, Barnes MD, Hanson CL. Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality. JMIR Mental Health 2016;3(2):e21
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Mackey TK, Kalyanam J, Katsuki T, Lanckriet G. Twitter-Based Detection of Illegal Online Sale of Prescription Opioid. American Journal of Public Health 2017;107(12):1910
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Kim MG, Kim J, Kim SC, Jeong J. Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study. Journal of Medical Internet Research 2020;22(2):e16466
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O'Connor K, Sarker A, Perrone J, Gonzalez Hernandez G. Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines. Journal of Medical Internet Research 2020;22(2):e15861
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Kolliakou A, Ball M, Derczynski L, Chandran D, Gkotsis G, Deluca P, Jackson R, Shetty H, Stewart R. Novel psychoactive substances: An investigation of temporal trends in social media and electronic health records. European Psychiatry 2016;38:15
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Logghe HJ, Selby LV, Boeck MA, Stamp NL, Chuen J, Jones C. The academic tweet: Twitter as a tool to advance academic surgery. Journal of Surgical Research 2018;226:viii
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Hoffman BL, Rosenthal EL, Colditz JB, Mcgarry R, Primack BA. Use of Twitter to Assess Viewer Reactions to the Medical Drama, Code Black. Journal of Health Communication 2018;23(3):244
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Kazemi DM, Borsari B, Levine MJ, Dooley B. Systematic review of surveillance by social media platforms for illicit drug use. Journal of Public Health 2017;39(4):763
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McIver DJ, Hawkins JB, Chunara R, Chatterjee AK, Bhandari A, Fitzgerald TP, Jain SH, Brownstein JS. Characterizing Sleep Issues Using Twitter. Journal of Medical Internet Research 2015;17(6):e140
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Liu JS, Ho MH, Lu LYY, Xiao G. Recent Themes in Social Networking Service Research. PLOS ONE 2017;12(1):e0170293
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Al-Garadi MA, Yang Y, Cai H, Ruan Y, O’Connor K, Graciela G, Perrone J, Sarker A. Text classification models for the automatic detection of nonmedical prescription medication use from social media. BMC Medical Informatics and Decision Making 2021;21(1)
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Wongkoblap A, Vadillo MA, Curcin V. Researching Mental Health Disorders in the Era of Social Media: Systematic Review. Journal of Medical Internet Research 2017;19(6):e228
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Kayser L, Kushniruk A, Osborne RH, Norgaard O, Turner P. Enhancing the Effectiveness of Consumer-Focused Health Information Technology Systems Through eHealth Literacy: A Framework for Understanding Users' Needs. JMIR Human Factors 2015;2(1):e9
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Gachloo M, Wang Y, Xia J. A review of drug knowledge discovery using BioNLP and tensor or matrix decomposition. Genomics & Informatics 2019;17(2):e18
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Sarker A, O’Connor K, Ginn R, Scotch M, Smith K, Malone D, Gonzalez G. Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter. Drug Safety 2016;39(3):231
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Barnes M, Hanson C, Giraud-Carrier C. The Case for Computational Health Science. Journal of Healthcare Informatics Research 2018;2(1-2):99
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Alvaro N, Conway M, Doan S, Lofi C, Overington J, Collier N. Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use. Journal of Biomedical Informatics 2015;58:280
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Mowery D, Smith H, Cheney T, Stoddard G, Coppersmith G, Bryan C, Conway M. Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study. Journal of Medical Internet Research 2017;19(2):e48
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Zhao Y, Guo Y, He X, Wu Y, Yang X, Prosperi M, Jin Y, Bian J. Assessing mental health signals among sexual and gender minorities using Twitter data. Health Informatics Journal 2020;26(2):765
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Hu H, Phan N, Chun SA, Geller J, Vo H, Ye X, Jin R, Ding K, Kenne D, Dou D. An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning. Computational Social Networks 2019;6(1)
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Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
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. Analysing Twitter as an Opportunity to Understand Substance Use. SSRN Electronic Journal 2015;
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Zhao F, Chen Y, Ge S, Yu X, Shao S, Black M, Wang Y, Zhang J, Song M, Wang W. A Quantitative Analysis of the Mass Media Coverage of Genomics Medicine in China: A Call for Science Journalism in the Developing World. OMICS: A Journal of Integrative Biology 2014;18(4):222
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Anderson L, Bell HG, Gilbert M, Davidson JE, Winter C, Barratt MJ, Win B, Painter JL, Menone C, Sayegh J, Dasgupta N. Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis. JMIR Public Health and Surveillance 2017;3(1):e6
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Meng H, Kath S, Li D, Nguyen QC, Giraud-Carrier C. National substance use patterns on Twitter. PLOS ONE 2017;12(11):e0187691
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Simpson SS, Adams N, Brugman CM, Conners TJ. Detecting Novel and Emerging Drug Terms Using Natural Language Processing: A Social Media Corpus Study. JMIR Public Health and Surveillance 2018;4(1):e2
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Hammond AS, Paul MJ, Hobelmann J, Koratana AR, Dredze M, Chisolm MS. Perceived Attitudes About Substance Use in Anonymous Social Media Posts Near College Campuses: Observational Study. JMIR Mental Health 2018;5(3):e52
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Sequeira R, Gayen A, Ganguly N, Dandapat SK, Chandra J. A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets. IEEE Transactions on Computational Social Systems 2019;6(6):1232
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Liang OS, Chen Y, Bennett DS, Yang CC. Identifying Self-Management Support Needs for Pregnant Women With Opioid Misuse in Online Health Communities: Mixed Methods Analysis of Web Posts. Journal of Medical Internet Research 2021;23(2):e18296
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Nascimento TD, DosSantos MF, Danciu T, DeBoer M, van Holsbeeck H, Lucas SR, Aiello C, Khatib L, Bender MA, Zubieta J, DaSilva AF. Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2014;16(4):e96
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Paul MJ, Chisolm MS, Johnson MW, Vandrey RG, Dredze M. Assessing the Validity of Online Drug Forums as a Source for Estimating Demographic and Temporal Trends in Drug Use. Journal of Addiction Medicine 2016;10(5):324
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Lavertu A, Altman RB. RedMed: Extending drug lexicons for social media applications. Journal of Biomedical Informatics 2019;99:103307
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Fogel J, Travis Y. Twitter use related to reality television characters: Association with increased marijuana use. Journal of Organizational Computing and Electronic Commerce 2017;27(2):152
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Mullins CF, ffrench-O'Carroll R, Lane J, O'Connor T. Sharing the pain: an observational analysis of Twitter and pain in Ireland. Regional Anesthesia & Pain Medicine 2020;45(8):597
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Hamad EO, Savundranayagam MY, Holmes JD, Kinsella EA, Johnson AM. Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds. Journal of Medical Internet Research 2016;18(3):e60
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Shaw G, Karami A. Computational content analysis of negative tweets for obesity, diet, diabetes, and exercise. Proceedings of the Association for Information Science and Technology 2017;54(1):357
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Srisuma S, Bronstein AC, Hoyte CO. NBOMe and 2C substitute phenylethylamine exposures reported to the National Poison Data System. Clinical Toxicology 2015;53(7):624
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Karami A, Dahl AA, Turner-McGrievy G, Kharrazi H, Shaw G. Characterizing diabetes, diet, exercise, and obesity comments on Twitter. International Journal of Information Management 2018;38(1):1
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Moore JH, Barnett I, Boland MR, Chen Y, Demiris G, Gonzalez-Hernandez G, Herman DS, Himes BE, Hubbard RA, Kim D, Morris JS, Mowery DL, Ritchie MD, Shen L, Urbanowicz R, Holmes JH. Ideas for how informaticians can get involved with COVID-19 research. BioData Mining 2020;13(1)
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Guirguis A, Moosa I, Gittins R, Schifano F. What About Drug Checking? Systematic Review and Netnographic Analysis of Social Media. Current Neuropharmacology 2020;18(10):906
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Haupt MR, Cuomo R, Li J, Nali M, Mackey TK. The influence of social media affordances on drug dealer posting behavior across multiple social networking sites (SNS). Computers in Human Behavior Reports 2022;8:100235
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Nova FF, Coupe A, Mynatt ED, Guha S, Pater JA. Cultivating the Community. Proceedings of the ACM on Human-Computer Interaction 2022;6(GROUP):1
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Niu S, McKim KG, Palm Reed K. Education, Personal Experiences, and Advocacy. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1
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Hakariya H, Ikejiri T, Yokoyama N, Saito Y. A Survey of Illegal Medication Trading through Twitter in Japan. YAKUGAKU ZASSHI 2022;142(8):901
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Liu X, Alsghaier H, Tong L, Ataullah A, McRoy S. Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches. JMIR AI 2022;1(1):e37751
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Lee IT, Juang S, Chen ST, Ko C, Ma KS. Sentiment analysis of tweets on alopecia areata, hidradenitis suppurativa, and psoriasis: Revealing the patient experience. Frontiers in Medicine 2022;9
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Lavertu A, Hamamsy T, Altman RB. Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis. Journal of Medical Internet Research 2021;23(10):e27714
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Hakariya H, Yokoyama N, Lee J, Hakariya A, Ikejiri T. Illicit trade of prescription medications through X (Twitter) in Japan: cross-sectional study (Preprint). JMIR Formative Research 2023;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2741):
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Hu H, Phan N, Geller J, Vo H, Manasi B, Huang X, Di Lorio S, Dinh T, Chun SA. Computational Data and Social Networks. 2018. Chapter 28:330
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Cummings E, Ellis L, Turner P. Social Media and Mobile Technologies for Healthcare. 2014. chapter 6:76
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Del Vigna F, Avvenuti M, Bacciu C, Deluca P, Petrocchi M, Marchetti A, Tesconi M. Advances in Intelligent Data Analysis XV. 2016. Chapter 8:86
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Buller DB, Walkosz BJ, Gill Woodall W. Prevention of Substance Use. 2019. Chapter 20:319
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Cummings E, Ellis L, Turner P. Health Literacy. 2017. chapter 14:287
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. Play and Recreation, Health and Wellbeing. 2016. Chapter 25:407
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. Play, Recreation, Health and Well Being. 2015. Chapter 25-1:1
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Optican A, Cavazos-Rehg PA. Child and Adolescent Psychiatry and the Media. 2019. :61
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Scheinfeld E, Crook B, Yang J. The International Encyclopedia of Health Communication. 2022. :1
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Yin Z, Ni C, Fabbri D, Rosenbloom ST, Malin B. Personal Health Informatics. 2022. Chapter 12:247
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Shetty SS, Singh C, Rao SB, Desai U, Srinivas PM. Emergent Converging Technologies and Biomedical Systems. 2023. Chapter 50:647
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Whig P, Velu A, Nadikattu RR, Alkali YJ. Handbook of Computational Sciences. 2023. :245
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