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Citing this Article

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Published on 18.03.15 in Vol 3, No 1 (2015): Jan-Mar

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

Works citing "mHealthApps: A Repository and Database of Mobile Health Apps"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4026):

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

  1. . A Digital Ecosystem of Diabetes Data and Technology. Journal of Diabetes Science and Technology 2016;10(1):35
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  4. Schumer H, Amadi C, Joshi A. Evaluating the Dietary and Nutritional Apps in the Google Play Store. Healthcare Informatics Research 2018;24(1):38
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  5. Domnich A, Arata L, Amicizia D, Signori A, Patrick B, Stoyanov S, Hides L, Gasparini R, Panatto D. Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention. BMC Medical Informatics and Decision Making 2016;16(1)
    CrossRef
  6. Robillard JM, Feng TL, Sporn AB, Lai J, Lo C, Ta M, Nadler R. Availability, readability, and content of privacy policies and terms of agreements of mental health apps. Internet Interventions 2019;17:100243
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  7. Maheu MM, Nicolucci V, Pulier ML, Wall KM, Frye TJ, Hudlicka E. The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System. Journal of Technology in Behavioral Science 2016;1(1-4):3
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  8. Segura-Garcia J, Garcia-Pineda M, Tamarit-Tronch M, Cibrian R, Salvador-Palmer R. Cost-Effective eHealth System Based on a Multi-Sensor System-on-Chip Platform and Data Fusion in Cloud for Sport Activity Monitoring. Electronics 2018;7(9):183
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  9. Khazen W, Jeanne J, Demaretz L, Schäfer F, Fagherazzi G. Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research. Journal of Medical Internet Research 2020;22(6):e15619
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  10. Grundy Q, Held F, Bero L. A Social Network Analysis of the Financial Links Backing Health and Fitness Apps. American Journal of Public Health 2017;107(11):1783
    CrossRef
  11. Maringer M, van’t Veer P, Klepacz N, Verain MCD, Normann A, Ekman S, Timotijevic L, Raats MM, Geelen A. User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research. Nutrition Journal 2018;17(1)
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  12. O'Shea CJ, McGavigan AD, Clark RA, Chew DPB, Ganesan A. Mobile health: an emerging technology with implications for global internal medicine. Internal Medicine Journal 2017;47(6):616
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  13. Rathbone AL, Prescott J. The Use of Mobile Apps and SMS Messaging as Physical and Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2017;19(8):e295
    CrossRef
  14. Hsu J, Liu D, Yu YM, Zhao HT, Chen ZR, Li J, Chen W. The Top Chinese Mobile Health Apps: A Systematic Investigation. Journal of Medical Internet Research 2016;18(8):e222
    CrossRef
  15. Beckmann JS, Lew D. Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities. Genome Medicine 2016;8(1)
    CrossRef
  16. Petersen CL, Weeks WB, Norin O, Weinstein JN. Development and Implementation of a Person-Centered, Technology-Enhanced Care Model For Managing Chronic Conditions: Cohort Study. JMIR mHealth and uHealth 2019;7(3):e11082
    CrossRef
  17. Neffa-Creech D, Clarke P, Evans SH, Glovinsky J. “Food is something everyone should participate in”: A positive deviance approach to understanding the use of a food and nutrition app in low-income, Latino homes. SAGE Open Medicine 2020;8:205031212093484
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  18. Bulatović N, Žarić N, Djukanović S, Radusinović I, Pejanović-Djurišić M. An Example of Human-Centric Sensor Network: Be Responsible Platform. Wireless Personal Communications 2017;92(1):237
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  19. Fernandez-Luque L, Labarta JI, Palmer E, Koledova E. Content Analysis of Apps for Growth Monitoring and Growth Hormone Treatment: Systematic Search in the Android App Store. JMIR mHealth and uHealth 2020;8(2):e16208
    CrossRef
  20. Mackay B, Anderson J, Harding T. Mobile technology in clinical teaching. Nurse Education in Practice 2017;22:1
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  21. Zhang L, Nawijn E, Boshuizen H, Ocké M. Evaluation of the Recipe Function in Popular Dietary Smartphone Applications, with Emphasize on Features Relevant for Nutrition Assessment in Large-Scale Studies. Nutrients 2019;11(1):200
    CrossRef
  22. Modave F, Bian J, Leavitt T, Bromwell J, Harris III C, Vincent H. Low Quality of Free Coaching Apps With Respect to the American College of Sports Medicine Guidelines: A Review of Current Mobile Apps. JMIR mHealth and uHealth 2015;3(3):e77
    CrossRef
  23. Yuan S, Chang S, Uyeno K, Almquist G, Wang S. Blood donation mobile applications: are donors ready?. Transfusion 2016;56(3):614
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  24. Yousaf K, Mehmood Z, Awan IA, Saba T, Alharbey R, Qadah T, Alrige MA. A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD). Health Care Management Science 2020;23(2):287
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  25. Beer JM, Smith KN, Kennedy T, Mois G, Acena D, Gallerani DG, McDonnell KK, Owens OL. A Focus Group Evaluation of Breathe Easier: A Mindfulness-Based mHealth App for Survivors of Lung Cancer and Their Family Members. American Journal of Health Promotion 2020;34(7):770
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  26. DeNicola N, Marko K. Connected Health and Mobile Apps in Obstetrics and Gynecology. Obstetrics and Gynecology Clinics of North America 2020;47(2):317
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  27. Schmidt-Kraepelin M, Toussaint PA, Thiebes S, Hamari J, Sunyaev A. Archetypes of Gamification: Analysis of mHealth Apps. JMIR mHealth and uHealth 2020;8(10):e19280
    CrossRef
  28. Vaghefi I, Tulu B. The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study. JMIR mHealth and uHealth 2019;7(8):e12983
    CrossRef
  29. 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
  30. Grundy QH, Wang Z, Bero LA. Challenges in Assessing Mobile Health App Quality. American Journal of Preventive Medicine 2016;51(6):1051
    CrossRef
  31. Billings DM, Kowalski K, Billings DM. There’s an “App” for That: Tips for Preparing Nurses for Roles in Mobile Health. The Journal of Continuing Education in Nursing 2015;46(9):390
    CrossRef
  32. Lo B, Shi J, Hollenberg E, Abi-Jaoudé A, Johnson A, Wiljer D. Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review. JMIR Mental Health 2020;7(6):e15942
    CrossRef
  33. Mendiola MF, Kalnicki M, Lindenauer S. Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings. JMIR mHealth and uHealth 2015;3(2):e40
    CrossRef
  34. Terhorst Y, Rathner E, Baumeister H, Sander L. «Hilfe aus dem App-Store?»: Eine systematische Übersichtsarbeit und Evaluation von Apps zur Anwendung bei Depressionen. Verhaltenstherapie 2018;28(2):101
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  35. Jacobs MA, Graham AL. Iterative development and evaluation methods of mHealth behavior change interventions. Current Opinion in Psychology 2016;9:33
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  36. Sezgin E, Özkan-Yildirim S, Yildirim S. Investigation of physicians' awareness and use of mHealth apps: A mixed method study. Health Policy and Technology 2017;6(3):251
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  37. Zhu E, Lilienthal A, Shluzas LA, Masiello I, Zary N. Design of Mobile Augmented Reality in Health Care Education: A Theory-Driven Framework. JMIR Medical Education 2015;1(2):e10
    CrossRef
  38. . Investigating the Perceptions of Care Coordinators on Using Behavior Theory-Based Mobile Health Technology With Medicaid Populations: A Grounded Theory Study. JMIR mHealth and uHealth 2017;5(3):e36
    CrossRef
  39. Berauk VLA, Murugiah MK, Soh YC, Sheng YC, Wong TW, Ming LC. Mobile Health Applications for Caring of Older People: Review and Comparison. Therapeutic Innovation & Regulatory Science 2018;52(3):374
    CrossRef
  40. Bardus M, van Beurden SB, Smith JR, Abraham C. A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  41. Díaz JL, Codern-Bové N, Zomeño M, Lassale C, Schröder H, Grau M. Quantitative and qualitative evaluation of the COMPASS mobile app: a citizen science project. Informatics for Health and Social Care 2021;46(4):412
    CrossRef
  42. Workman A, Jones PJ, Wheeler AJ, Campbell SL, Williamson GJ, Lucani C, Bowman DM, Cooling N, Johnston FH. Environmental Hazards and Behavior Change: User Perspectives on the Usability and Effectiveness of the AirRater Smartphone App. International Journal of Environmental Research and Public Health 2021;18(7):3591
    CrossRef
  43. Shinozaki N, Murakami K. Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan. Nutrients 2020;12(11):3327
    CrossRef
  44. Antonenko K, Paciaroni M, Sokolova L, Pezzella FR. Digital health in stroke medicine: what are the opportunities for stroke patients?. Current Opinion in Neurology 2021;34(1):27
    CrossRef
  45. Gimpel H, Manner-Romberg T, Schmied F, Winkler TJ. Understanding the evaluation of mHealth app features based on a cross-country Kano analysis. Electronic Markets 2021;31(4):765
    CrossRef
  46. Tomasella F, Morgan HM. “Sometimes I don’t have a pulse … and I’m still alive!” Interviews with healthcare professionals to explore their experiences of and views on population-based digital health technologies. DIGITAL HEALTH 2021;7:205520762110183
    CrossRef
  47. Shen C, Jiang B, Yang Q, Wang C, Lu KZ, Gu M, Yuan J. Mobile Apps for Drug–Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis. JMIR mHealth and uHealth 2021;9(6):e26262
    CrossRef
  48. Mucchi L, Jayousi S, Gant A, Paoletti E, Zoppi P. Tele-Monitoring System for Chronic Diseases Management: Requirements and Architecture. International Journal of Environmental Research and Public Health 2021;18(14):7459
    CrossRef
  49. Shen Y, Xu W, Liang A, Wang X, Lu X, Lu Z, Gao C. Online health management continuance and the moderating effect of service type and age difference: A meta-analysis. Health Informatics Journal 2022;28(3):146045822211199
    CrossRef
  50. Bulzacchelli MT, Bellantoni JM, McCue L, Dzugan J. The Receptivity to Safety-Related Mobile Apps Among Commercial Fishing Captains: Descriptive Exploratory Study. JMIR Formative Research 2022;6(11):e33638
    CrossRef
  51. Kleinman K, Huang V, Canares T. Smartphone Applications for the General Pediatric Provider: A Comprehensive Review. Clinical Pediatrics 2023;62(5):389
    CrossRef
  52. Adams Z, Grant M, Hupp S, Scott T, Feagans A, Phillips ML, Bixler K, Nallam PT, La Putt D. Acceptability of an mHealth App for Youth With Substance Use and Mental Health Needs: Iterative, Mixed Methods Design. JMIR Formative Research 2021;5(12):e30268
    CrossRef
  53. Nimkar S, Gilles EE. Improving Global Health With Smartphone Technology. International Journal of E-Health and Medical Communications 2018;9(3):1
    CrossRef
  54. Yang S, Bui CN, Park K. Mobile Health Apps for Breast Cancer: Content Analysis and Quality Assessment. JMIR mHealth and uHealth 2023;11:e43522
    CrossRef
  55. Hogan TP, Etingen B, Lipschitz JM, Shimada SL, McMahon N, Bolivar D, Bixler FR, Irvin D, Wacks R, Cutrona S, Frisbee KL, Smith BM. Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey. JMIR mHealth and uHealth 2022;10(12):e41767
    CrossRef
  56. Humphrey G, Chu JT, Ruwhiu-Collins R, Erick-Peleti S, Dowling N, Merkouris S, Newcombe D, Rodda S, Ho E, Nosa V, Parag V, Bullen C. Adapting an Evidence-Based e-Learning Cognitive Behavioral Therapy Program Into a Mobile App for People Experiencing Gambling-Related Problems: Formative Study. JMIR Formative Research 2022;6(3):e32940
    CrossRef
  57. Petrenko CLM, Kautz-Turnbull CC, Roth AR, Parr JE, Tapparello C, Demir U, Olson HC. Initial Feasibility of the “Families Moving Forward Connect” Mobile Health Intervention for Caregivers of Children With Fetal Alcohol Spectrum Disorders: Mixed Method Evaluation Within a Systematic User-Centered Design Approach. JMIR Formative Research 2021;5(12):e29687
    CrossRef
  58. Lieser T, Huang Y, Sezgin E. The Current State of Mobile Apps Owned by Large Pediatric Hospitals in the United States: Systematic Search and Analysis on Google Play and Apple App Stores. JMIR Pediatrics and Parenting 2022;5(4):e38940
    CrossRef
  59. . A Decentralized Marketplace for Patient-Generated Health Data: Design Science Approach. Journal of Medical Internet Research 2023;25:e42743
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  60. Nourimand F, Keramat A, Sayahi M, Bozorgian L, Hashempour Z. A systematic review of eHealth modes in preventing sexually transmitted infections. Indian Journal of Sexually Transmitted Diseases and AIDS 2022;43(2):117
    CrossRef
  61. Muñoz-Mancisidor A, Martin-Payo R, Gonzalez-Mendez X, Fernández-Álvarez MDM. Content, Behavior Change Techniques, and Quality of Pregnancy Apps in Spain: Systematic Search on App Stores. JMIR mHealth and uHealth 2021;9(11):e27995
    CrossRef
  62. Mujtaba H, Umer MF, Afroze E, Chaudhary FA, Zofeen S, Farid A. Teledentistry: An Appraisal of Google Play Store Applications. European Journal of General Dentistry 2023;12(01):020
    CrossRef
  63. Francis L, Spaulding EM, Bloom I, Patel A, Perrin N. A systematic appraisal of the information, engagement, aesthetic and functional quality of nutrition-related smartphone apps for children and adolescents. Public Health Nutrition 2023;26(7):1368
    CrossRef
  64. Choe J, Hwang I, Park J, Amo C, Lee J. How valid is the commercially available tennis match analysis mobile application? Is it good enough?. International Journal of Performance Analysis in Sport 2024;24(1):58
    CrossRef
  65. Sánchez-Rodríguez MT, Pinzón-Bernal MY, Jiménez-Antona C, Laguarta-Val S, Sánchez-Herrera-Baeza P, Fernández-González P, Cano-de-la-Cuerda R. Designing an Informative App for Neurorehabilitation: A Feasibility and Satisfaction Study by Physiotherapists. Healthcare 2023;11(18):2549
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  66. Machorro-Cano I, Olmedo-Aguirre JO, Alor-Hernández G, Rodríguez-Mazahua L, Sánchez-Morales LN, Pérez-Castro N. Cloud-Based Platforms for Health Monitoring: A Review. Informatics 2023;11(1):2
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  67. Ramzy M, Ibrahim B. User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users’ reviews using machine learning techniques. Information Processing & Management 2024;61(3):103644
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4026):

  1. Hussain J, Lee S. Enhanced Quality of Life and Smart Living. 2017. Chapter 2:13
    CrossRef
  2. Eren PE, Gökalp E. Current and Emerging mHealth Technologies. 2018. Chapter 11:167
    CrossRef
  3. Nguyen HD, Poo DCC. Social Computing and Social Media. Applications and Analytics. 2017. Chapter 34:440
    CrossRef
  4. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. 2019. Chapter 30-1:1
    CrossRef
  5. Pan A, Zhao F. Human-Computer Interaction. Interaction in Context. 2018. Chapter 14:173
    CrossRef
  6. O’ Connor Y, O’ Connor S, Heavin C, Gallagher J, O’ Donoghue J. Applied Computing in Medicine and Health. 2016. :212
    CrossRef
  7. Sezgin E, Yildirim S, Yildirim S. Current and Emerging mHealth Technologies. 2018. Chapter 10:153
    CrossRef
  8. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. 2020. Chapter 30-2:1
    CrossRef
  9. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. 2021. Chapter 30:501
    CrossRef
  10. Coziahr K, Stanley L, Perez-Litwin A, Lundberg C, Litwin A. Design, User Experience, and Usability: Design for Emotion, Well-being and Health, Learning, and Culture. 2022. Chapter 7:107
    CrossRef
  11. Erkudov V, Lytaev S, Rozumbetov K, Pugovkin A, Matchanov A, Rogozin S. Bioinformatics and Biomedical Engineering. 2023. Chapter 3:35
    CrossRef
  12. Halvadia N, Bhatt K, Patel H, Halvadia S. Proceedings of World Conference on Information Systems for Business Management. 2024. Chapter 5:51
    CrossRef