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Citing this Article

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Published on 18.04.13 in Vol 15, No 4 (2013): April

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

Works citing "Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2583):

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

  1. Owensby JK, Kavookjian J. Pharmacy students’ perceptions of the usefulness of motivational interviewing and the use of mobile health applications on patient counseling in the future. Currents in Pharmacy Teaching and Learning 2017;9(4):568
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  3. Perski O, Blandford A, Ubhi HK, West R, Michie S. Smokers’ and drinkers’ choice of smartphone applications and expectations of engagement: a think aloud and interview study. BMC Medical Informatics and Decision Making 2017;17(1)
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  4. Rodrigues AM, Sniehotta FF, Birch-Machin MA, Olivier P, Araújo-Soares V. Systematic and Iterative Development of a Smartphone App to Promote Sun-Protection Among Holidaymakers: Design of a Prototype and Results of Usability and Acceptability Testing. JMIR Research Protocols 2017;6(6):e112
    CrossRef
  5. Lyzwinski LN, Caffery LJ, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a review of qualitative studies. Journal of Telemedicine and Telecare 2017;:1357633X1769272
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  6. Chen Y, Wong J, Ayob A, Othman N, Poh B. Can Malaysian Young Adults Report Dietary Intake Using a Food Diary Mobile Application? A Pilot Study on Acceptability and Compliance. Nutrients 2017;9(1):62
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  7. Lieffers JR, Arocha JF, Grindrod K, Hanning RM. Experiences and Perceptions of Adults Accessing Publicly Available Nutrition Behavior-Change Mobile Apps for Weight Management. Journal of the Academy of Nutrition and Dietetics 2017;
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  8. Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51
    CrossRef
  9. Peters D, Davis S, Calvo RA, Sawyer SM, Smith L, Foster JM. Young People’s Preferences for an Asthma Self-Management App Highlight Psychological Needs: A Participatory Study. Journal of Medical Internet Research 2017;19(4):e113
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  10. Morrison LG, Hargood C, Pejovic V, Geraghty AWA, Lloyd S, Goodman N, Michaelides DT, Weston A, Musolesi M, Weal MJ, Yardley L, Li D. The Effect of Timing and Frequency of Push Notifications on Usage of a Smartphone-Based Stress Management Intervention: An Exploratory Trial. PLOS ONE 2017;12(1):e0169162
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  11. Castellano-Tejedor C, Moreno J, Ciudin A, Parramón G, Lusilla-Palacios P. PREventive Care Infrastructure based On Ubiquitous Sensing (PRECIOUS): A Study Protocol. JMIR Research Protocols 2017;6(5):e105
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  12. Fitzgerald M, McClelland T. What makes a mobile app successful in supporting health behaviour change?. Health Education Journal 2017;76(3):373
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  13. Robertson MC, Tsai E, Lyons EJ, Srinivasan S, Swartz MC, Baum ML, Basen-Engquist KM. Mobile Health Physical Activity Intervention Preferences in Cancer Survivors: A Qualitative Study. JMIR mHealth and uHealth 2017;5(1):e3
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  14. Bauer M, Glenn T, Monteith S, Bauer R, Whybrow PC, Geddes J. Ethical perspectives on recommending digital technology for patients with mental illness. International Journal of Bipolar Disorders 2017;5(1)
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  15. Crane D, Garnett C, Brown J, West R, Michie S. Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies. Frontiers in Public Health 2017;5
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  17. Harris SK, Aalsma MC, Weitzman ER, Garcia-Huidobro D, Wong C, Hadland SE, Santelli J, Park MJ, Ozer EM. Research on Clinical Preventive Services for Adolescents and Young Adults: Where Are We and Where Do We Need to Go?. Journal of Adolescent Health 2017;60(3):249
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  18. Birkhoff SD, Smeltzer SC. Perceptions of Smartphone User-Centered Mobile Health Tracking Apps Across Various Chronic Illness Populations: An Integrative Review. Journal of Nursing Scholarship 2017;
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  19. Christmann CA, Hoffmann A, Bleser G. Stress Management Apps With Regard to Emotion-Focused Coping and Behavior Change Techniques: A Content Analysis. JMIR mHealth and uHealth 2017;5(2):e22
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  20. del Río Carral M, Roux P, Bruchez C, Santiago-Delefosse M. Santé digitale : promesses, défis et craintes. Une revue de la littérature. Pratiques Psychologiques 2017;23(1):61
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  21. Grau I, Kostov B, Gallego J, Grajales III F, Fernández-Luque L, Sisó-Almirall A. Método de valoración de aplicaciones móviles de salud en español: el índice iSYScore. SEMERGEN - Medicina de Familia 2016;42(8):575
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  22. Brown KE, Newby K, Caley M, Danahay A, Kehal I. Pilot evaluation of a web-based intervention targeting sexual health service access. Health Education Research 2016;31(2):273
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  23. Goodwin J, Cummins J, Behan L, O’Brien SM. Development of a mental health smartphone app: perspectives of mental health service users. Journal of Mental Health 2016;25(5):434
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  25. Wiklund S, Fagerberg I, Örtqvist , Broliden K, Tammelin A. Acquisition of extended spectrum β-lactamases during travel abroad—A qualitative study among Swedish travellers examining their knowledge, risk assessment, and behaviour. International Journal of Qualitative Studies on Health and Well-being 2016;11(1):32378
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  26. de Oliveira ML, Galembeck E. Mobile Applications in Cell Biology Present New Approaches for Cell Modelling. Journal of Biological Education 2016;50(3):290
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  27. Chen E, Mangone ER. A Systematic Review of Apps using Mobile Criteria for Adolescent Pregnancy Prevention (mCAPP). JMIR mHealth and uHealth 2016;4(4):e122
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  28. Naughton F. Delivering “Just-In-Time” Smoking Cessation Support Via Mobile Phones: Current Knowledge and Future Directions: Table 1.. Nicotine & Tobacco Research 2016;:ntw143
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  29. Barker M, Baird J, Lawrence W, Vogel C, Stömmer S, Rose T, Inskip H, Godfrey K, Cooper C. Preconception and pregnancy: opportunities to intervene to improve women’s diets and lifestyles. Journal of Developmental Origins of Health and Disease 2016;7(03):330
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  30. Peng W, Yuan S, Holtz BE. Exploring the Challenges and Opportunities of Health Mobile Apps for Individuals with Type 2 Diabetes Living in Rural Communities. Telemedicine and e-Health 2016;22(9):733
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  31. Hung S, Li M, Chen Y, Chiang J, Chen Y, Hung GC. Smartphone-based ecological momentary assessment for Chinese patients with depression: An exploratory study in Taiwan. Asian Journal of Psychiatry 2016;23:131
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  32. Martin EC, Basen-Engquist K, Cox MG, Lyons EJ, Carmack CL, Blalock JA, Demark-Wahnefried W. Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study. JMIR Cancer 2016;2(1):e1
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  33. Burgess K, Atkinson KM, Westeinde J, Crowcroft N, Deeks SL, Wilson K. Barriers and facilitators to the use of an immunization application: a qualitative study supplemented with Google Analytics data. Journal of Public Health 2016;:fdw032
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  34. Naughton F, Hopewell S, Lathia N, Schalbroeck R, Brown C, Mascolo C, McEwen A, Sutton S. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mHealth and uHealth 2016;4(3):e106
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  35. Forchuk C, Reiss J, Eichstedt J, Singh D, Collins K, Rudnick A, Walsh J, Ethridge P, Kutcher S, Fisman S. The Youth-Mental Health Engagement Network: An Exploratory Pilot Study of a Smartphone and Computer-Based Personal Health Record for Youth Experiencing Depressive Symptoms. International Journal of Mental Health 2016;45(3):205
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  36. Minen MT, Torous J, Raynowska J, Piazza A, Grudzen C, Powers S, Lipton R, Sevick MA. Electronic behavioral interventions for headache: a systematic review. The Journal of Headache and Pain 2016;17(1)
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  37. White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81
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  38. Fanning J, Porter G, Awick E, Wójcicki T, Gothe N, Roberts S, Ehlers D, Motl R, McAuley E. Effects of a DVD-delivered exercise program on patterns of sedentary behavior in older adults: a randomized controlled trial. Preventive Medicine Reports 2016;3:238
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  39. Bloom T, Gielen A, Glass N. Developing an App for College Women in Abusive Same-Sex Relationships and Their Friends. Journal of Homosexuality 2016;63(6):855
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  40. Birney AJ, Gunn R, Russell JK, Ary DV. MoodHacker Mobile Web App With Email for Adults to Self-Manage Mild-to-Moderate Depression: Randomized Controlled Trial. JMIR mHealth and uHealth 2016;4(1):e8
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  41. Mummah SA, King AC, Gardner CD, Sutton S. Iterative development of Vegethon: a theory-based mobile app intervention to increase vegetable consumption. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
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  42. Peng W, Kanthawala S, Yuan S, Hussain SA. A qualitative study of user perceptions of mobile health apps. BMC Public Health 2016;16(1)
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  43. Brzan PP, Rotman E, Pajnkihar M, Klanjsek P. Mobile Applications for Control and Self Management of Diabetes: A Systematic Review. Journal of Medical Systems 2016;40(9)
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  44. Zia J, Schroeder J, Munson S, Fogarty J, Nguyen L, Barney P, Heitkemper M, Ladabaum U. Feasibility and Usability Pilot Study of a Novel Irritable Bowel Syndrome Food and Gastrointestinal Symptom Journal Smartphone App. Clinical and Translational Gastroenterology 2016;7(3):e147
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  45. Ribeiro N, Moreira L, Barros A, Almeida AM, Santos-Silva F. Guidelines for a cancer prevention smartphone application: A mixed-methods study. International Journal of Medical Informatics 2016;94:134
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  46. Bohleber L, Crameri A, Eich-Stierli B, Telesko R, von Wyl A. Can We Foster a Culture of Peer Support and Promote Mental Health in Adolescence Using a Web-Based App? A Control Group Study. JMIR Mental Health 2016;3(3):e45
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  47. Mummah SA, Robinson TN, King AC, Gardner CD, Sutton S. IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior. Journal of Medical Internet Research 2016;18(12):e317
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  48. Wang Q, Egelandsdal B, Amdam GV, Almli VL, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33
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  49. Partridge SR, Allman-Farinelli M, McGeechan K, Balestracci K, Wong AT, Hebden L, Harris MF, Bauman A, Phongsavan P. Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
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  50. Fulford H, McSwiggan L, Kroll T, MacGillivray S. Exploring the Use of Information and Communication Technology by People With Mood Disorder: A Systematic Review and Metasynthesis. JMIR Mental Health 2016;3(3):e30
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  51. Elbert SP, Dijkstra A, Oenema A. A Mobile Phone App Intervention Targeting Fruit and Vegetable Consumption: The Efficacy of Textual and Auditory Tailored Health Information Tested in a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e147
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  52. Cho S, Lee E. Distraction by smartphone use during clinical practice and opinions about smartphone restriction policies: A cross-sectional descriptive study of nursing students. Nurse Education Today 2016;40:128
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  53. Bobian M, Kandinov A, El-Kashlan N, Svider PF, Folbe AJ, Mayerhoff R, Eloy JA, Raza SN. Mobile applications and patient education: Are currently available GERD mobile apps sufficient?. The Laryngoscope 2016;
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  54. Zahry NR, Cheng Y, Peng W. Content Analysis of Diet-Related Mobile Apps: A Self-Regulation Perspective. Health Communication 2016;31(10):1301
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  55. Athilingam P, Osorio RE, Kaplan H, Oliver D, O’neachtain T, Rogal PJ. Embedding Patient Education in Mobile Platform for Patients With Heart Failure. CIN: Computers, Informatics, Nursing 2016;34(2):92
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  56. Takeuchi S, Horiuchi S. Randomised controlled trial using smartphone website vs leaflet to support antenatal perineal massage practice for pregnant women. Women and Birth 2016;29(5):430
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  57. Dias Junior A, Murali S, Rincon F, Atienza D. Methods for reliable estimation of pulse transit time and blood pressure variations using smartphone sensors. Microprocessors and Microsystems 2016;46:84
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  58. Sullivan RK, Marsh S, Halvarsson J, Holdsworth M, Waterlander W, Poelman MP, Salmond JA, Christian H, Koh LS, Cade JE, Spence JC, Woodward A, Maddison R. Smartphone Apps for Measuring Human Health and Climate Change Co-Benefits: A Comparison and Quality Rating of Available Apps. JMIR mHealth and uHealth 2016;4(4):e135
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  59. Gomez Quiñonez S, Walthouwer MJL, Schulz DN, de Vries H. mHealth or eHealth? Efficacy, Use, and Appreciation of a Web-Based Computer-Tailored Physical Activity Intervention for Dutch Adults: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(11):e278
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  60. Jung J, Cho Y, Ji D, Kang J. Acceptability and Feasibility of a Smartphone Application for 5th, 6th Grade Elementary Students to Prevent Childhood Obesity; a Qualitative Study. Korean Journal of Health Promotion 2016;16(4):251
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  61. Torous J, Kiang MV, Lorme J, Onnela J. New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research. JMIR Mental Health 2016;3(2):e16
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  62. Matthews J, Win KT, Oinas-Kukkonen H, Freeman M. Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review. Journal of Medical Systems 2016;40(3)
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  63. O⿿Rourke L, Humphris G, Baldacchino A. Electronic communication based interventions for hazardous young drinkers: A systematic review. Neuroscience & Biobehavioral Reviews 2016;68:880
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  64. Baskerville NB, Dash D, Wong K, Shuh A, Abramowicz A. Perceptions Toward a Smoking Cessation App Targeting LGBTQ+ Youth and Young Adults: A Qualitative Framework Analysis of Focus Groups. JMIR Public Health and Surveillance 2016;2(2):e165
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  65. Shim H, Kim Y, Park M. Differences on Satisfaction of Healthcare Applications by Smartphone Users' Characteristics. Journal of the Korea Academia-Industrial cooperation Society 2016;17(7):410
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  66. Chen J, Bauman A, Allman-Farinelli M. A Study to Determine the Most Popular Lifestyle Smartphone Applications and Willingness of the Public to Share Their Personal Data for Health Research. Telemedicine and e-Health 2016;22(8):655
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  67. Morreale P, Li JJ, McAllister J, Mishra S, Dowluri T. Mobile Persuasive Design for HEMS Adaptation. Procedia Computer Science 2015;52:764
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  68. Ly KH, Janni E, Wrede R, Sedem M, Donker T, Carlbring P, Andersson G. Experiences of a guided smartphone-based behavioral activation therapy for depression: A qualitative study. Internet Interventions 2015;2(1):60
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  69. Burkell J, Fortier A. Could we do better? Behavioural tracking on recommended consumer health websites. Health Information & Libraries Journal 2015;32(3):182
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  70. Willcox JC, van der Pligt P, Ball K, Wilkinson SA, Lappas M, McCarthy EA, Campbell KJ. Views of Women and Health Professionals on mHealth Lifestyle Interventions in Pregnancy: A Qualitative Investigation. JMIR mHealth and uHealth 2015;3(4):e99
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  71. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar NB, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393
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  72. Lupton D. Health promotion in the digital era: a critical commentary. Health Promotion International 2015;30(1):174
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  73. Cohen DJ, Keller SR, Hayes GR, Dorr DA, Ash JS, Sittig DF. Developing a model for understanding patient collection of observations of daily living: a qualitative meta-synthesis of the Project HealthDesign program. Personal and Ubiquitous Computing 2015;19(1):91
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  74. Vassilev I, Rowsell A, Pope C, Kennedy A, O’Cathain A, Salisbury C, Rogers A. Assessing the implementability of telehealth interventions for self-management support: a realist review. Implementation Science 2015;10(1)
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  79. Chen J, Cade JE, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2583)

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  1. Amresh A, Lyles A, Gary K. Cognitive Informatics in Health and Biomedicine. 2017. Chapter 16:347
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  2. Mathai M, Ginige A, Srinivasan U, Girosi F. Green, Pervasive, and Cloud Computing. 2017. Chapter 48:672
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  3. Wong ETK, Ma WWK. New Ecology for Education — Communication X Learning. 2017. Chapter 22:263
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