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Citing this Article

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Published on 08.06.15 in Vol 17, No 6 (2015): June

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

Works citing "Characterizing Sleep Issues Using Twitter"

David J McIver, Jared B Hawkins, Rumi Chunara, Arnaub K Chatterjee, Aman Bhandari, Timothy P Fitzgerald, Sachin H Jain, John S Brownstein

J Med Internet Res 2015 (Jun 08); 17(6):e140 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4476):

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

  1. Cole DA, Nick EA, Varga G, Smith D, Zelkowitz RL, Ford MA, Lédeczi . Are Aspects of Twitter Use Associated with Reduced Depressive Symptoms? The Moderating Role of In-Person Social Support. Cyberpsychology, Behavior, and Social Networking 2019;22(11):692
    CrossRef
  2. Burke-Garcia A, Stanton CA. A tale of two tools: Reliability and feasibility of social media measurement tools examining e-cigarette twitter mentions. Informatics in Medicine Unlocked 2017;8:8
    CrossRef
  3. Hswen Y, Naslund JA, Brownstein JS, Hawkins JB. Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study. JMIR Mental Health 2018;5(4):e11483
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  4. Yin Z, Sulieman LM, Malin BA. A systematic literature review of machine learning in online personal health data. Journal of the American Medical Informatics Association 2019;26(6):561
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  5. 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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  6. Nguyen QC, Li D, Meng H, Kath S, Nsoesie E, Li F, Wen M. Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity. JMIR Public Health and Surveillance 2016;2(2):e158
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  7. 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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  8. Doan S, Yang EW, Tilak SS, Li PW, Zisook DS, Torii M. Extracting health-related causality from twitter messages using natural language processing. BMC Medical Informatics and Decision Making 2019;19(S3)
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  9. . What Can We Learn About Mental Health Needs From Tweets Mentioning Dementia on World Alzheimer’s Day?. Journal of the American Psychiatric Nurses Association 2016;22(6):498
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  10. Piña-García CA, Siqueiros-García JM, Robles-Belmont E, Carreón G, Gershenson C, López JAD. From neuroscience to computer science: a topical approach on Twitter. Journal of Computational Social Science 2018;1(1):187
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  11. Jaidka K, Giorgi S, Schwartz HA, Kern ML, Ungar LH, Eichstaedt JC. Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proceedings of the National Academy of Sciences 2020;117(19):10165
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  12. Piña-García CA, Ramírez-Ramírez L. Exploring crime patterns in Mexico City. Journal of Big Data 2019;6(1)
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  13. Hswen Y, Qin Q, Brownstein JS, Hawkins JB. Feasibility of using social media to monitor outdoor air pollution in London, England. Preventive Medicine 2019;121:86
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  14. Sathyanarayana A, Joty S, Fernandez-Luque L, Ofli F, Srivastava J, Elmagarmid A, Arora T, Taheri S. Sleep Quality Prediction From Wearable Data Using Deep Learning. JMIR mHealth and uHealth 2016;4(4):e125
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  15. 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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  16. Gibbons J, Malouf R, Spitzberg B, Martinez L, Appleyard B, Thompson C, Nara A, Tsou M, Danforth CM. Twitter-based measures of neighborhood sentiment as predictors of residential population health. PLOS ONE 2019;14(7):e0219550
    CrossRef
  17. Kunkle S, Christie G, Yach D, El-Sayed AM. The Importance of Computer Science for Public Health Training: An Opportunity and Call to Action. JMIR Public Health and Surveillance 2016;2(1):e10
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  18. Hswen Y, Naslund JA, Chandrashekar P, Siegel R, Brownstein JS, Hawkins JB. Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia. Psychiatry Research 2017;257:479
    CrossRef
  19. Huang D, Huang Y, Khanna S, Dwivedi P, Slopen N, Green KM, He X, Puett R, Nguyen Q. Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample. JMIR Public Health and Surveillance 2020;6(3):e17969
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  20. Nguyen QC, Brunisholz KD, Yu W, McCullough M, Hanson HA, Litchman ML, Li F, Wan Y, VanDerslice JA, Wen M, Smith KR. Twitter-derived neighborhood characteristics associated with obesity and diabetes. Scientific Reports 2017;7(1)
    CrossRef
  21. Hswen Y, Naslund JA, Brownstein JS, Hawkins JB. Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media. Psychiatric Quarterly 2018;89(3):569
    CrossRef
  22. Tian X, Batterham P, Song S, Yao X, Yu G. Characterizing Depression Issues on Sina Weibo. International Journal of Environmental Research and Public Health 2018;15(4):764
    CrossRef
  23. Powell GE, Seifert HA, Reblin T, Burstein PJ, Blowers J, Menius JA, Painter JL, Thomas M, Pierce CE, Rodriguez HW, Brownstein JS, Freifeld CC, Bell HG, Dasgupta N. Social Media Listening for Routine Post-Marketing Safety Surveillance. Drug Safety 2016;39(5):443
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  24. Hausmann JS, Touloumtzis C, White MT, Colbert JA, Gooding HC. Adolescent and Young Adult Use of Social Media for Health and Its Implications. Journal of Adolescent Health 2017;60(6):714
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  25. Anwar M, Khoury D, Aldridge AP, Parker SJ, Conway KP. Using Twitter to Surveil the Opioid Epidemic in North Carolina: An Exploratory Study. JMIR Public Health and Surveillance 2020;6(2):e17574
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  26. Anýž J, Bakštein E, Dudysová D, Veldová K, Kliková M, Fárková E, Kopřivová J, Španiel F. No wink of sleep: Population sleep characteristics in response to the brexit poll and the 2016 U.S. presidential election. Social Science & Medicine 2019;222:112
    CrossRef
  27. . Türkiye’de Hastanelerin Instagram Kullanımı: Medical Park, Acıbadem ve Memorial Sağlık Grupları Örneği. Erciyes İletişim Dergisi 2019;6(2):1309
    CrossRef
  28. Hawkins A, Filtness A. Driver sleepiness on YouTube: A content analysis. Accident Analysis & Prevention 2017;99:459
    CrossRef
  29. Nguyen TT, Meng H, Sandeep S, McCullough M, Yu W, Lau Y, Huang D, Nguyen QC. Twitter-derived measures of sentiment towards minorities (2015–2016) and associations with low birth weight and preterm birth in the United States. Computers in Human Behavior 2018;89:308
    CrossRef
  30. Hswen Y, Gopaluni A, Brownstein JS, Hawkins JB. Using Twitter to Detect Psychological Characteristics of Self-Identified Persons With Autism Spectrum Disorder: A Feasibility Study. JMIR mHealth and uHealth 2019;7(2):e12264
    CrossRef
  31. Nguyen T, Larsen M, O’Dea B, Nguyen H, Nguyen DT, Yearwood J, Phung D, Venkatesh S, Christensen H. Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. Future Generation Computer Systems 2020;110:620
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  32. Bailey S, Zhang Y, Ramesh A, Golbeck J, Getoor L. A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA. ACM Transactions on the Web 2021;15(1):1
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  33. Grande D, Luna Marti X, Merchant RM, Asch DA, Dolan A, Sharma M, Cannuscio CC. Consumer Views on Health Applications of Consumer Digital Data and Health Privacy Among US Adults: Qualitative Interview Study. Journal of Medical Internet Research 2021;23(6):e29395
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  34. Thorpe Huerta D, Hawkins JB, Brownstein JS, Hswen Y. Exploring discussions of health and risk and public sentiment in Massachusetts during COVID-19 pandemic mandate implementation: A Twitter analysis. SSM - Population Health 2021;15:100851
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  35. Sakib AS, Mukta MSH, Huda FR, Islam AKMN, Islam T, Ali ME. Identifying Insomnia From Social Media Posts: Psycholinguistic Analyses of User Tweets. Journal of Medical Internet Research 2021;23(12):e27613
    CrossRef
  36. Lin B, Zou L, Duffield N, Mostafavi A, Cai H, Zhou B, Tao J, Yang M, Mandal D, Abedin J. Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media. International Journal of Digital Earth 2022;15(1):868
    CrossRef
  37. Cohen Zion M, Gescheit I, Levy N, Yom-Tov E. Identifying Sleep Disorders From Search Engine Activity: Combining User-Generated Data With a Clinically Validated Questionnaire. Journal of Medical Internet Research 2022;24(11):e41288
    CrossRef
  38. 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
    CrossRef
  39. Meyerson WU, Fineberg SK, Song YK, Faber A, Ash G, Andrade FC, Corlett P, Gerstein MB, Hoyle RH. Estimation of Bedtimes of Reddit Users: Integrated Analysis of Time Stamps and Surveys. JMIR Formative Research 2023;7:e38112
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  40. Shakeri Hossein Abad Z, Butler GP, Thompson W, Lee J. Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk. Journal of Medical Internet Research 2022;24(1):e28749
    CrossRef
  41. Halkos G, Managi S. New developments in the disciplines of environmental and resource economics. Economic Analysis and Policy 2023;77:513
    CrossRef
  42. Ladis I, Valladares TL, Coppersmith DDL, Glenn JJ, Nobles AL, Barnes LE, Teachman BA. Inferring sleep disturbance from text messages of suicide attempt survivors: A pilot study. Suicide and Life-Threatening Behavior 2023;53(1):39
    CrossRef
  43. Linnell K, Arnold M, Alshaabi T, McAndrew T, Lim J, Dodds PS, Danforth CM. The sleep loss insult of Spring Daylight Savings in the US is observable in Twitter activity. Journal of Big Data 2021;8(1)
    CrossRef
  44. Sachini E, Sioumalas-⁠ Christodoulou K, Bouras N, Karampekios N. Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation. SN Social Sciences 2022;2(12)
    CrossRef
  45. Unnikrishnan R, S. SK, V.S. A. Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data. Engineering Applications of Artificial Intelligence 2023;123:106214
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.4476):

  1. Leightley D, Sharp M, Williamson V, Fear NT, Gribble R. Social Media and the Armed Forces. 2020. Chapter 9:145
    CrossRef
  2. López JCAD, Piña-García CA. Complex Networks & Their Applications V. 2017. Chapter 48:607
    CrossRef
  3. Amador J, Piña-Garcia CA. Online Communities as Agents of Change and Social Movements. 2017. chapter 6:138
    CrossRef
  4. Leightley D, Sharp M, Williamson V, Fear NT, Gribble R. Soziale Medien und die Streitkräfte. 2023. Chapter 9:183
    CrossRef