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Citing this Article

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Published on 17.02.14 in Vol 2, No 1 (2014): Jan-Mar

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

Works citing "A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life"

Aiguo Wang, Ning An, Xin Lu, Hongtu Chen, Changqun Li, Sue Levkoff

JMIR Mhealth Uhealth 2014 (Feb 17); 2(1):e6 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.2877):

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

  1. Cunha A, Cunha E, Peres E, Trigueiros P. Helping Older People: Is there an App for that?. Procedia Computer Science 2016;100:118
    CrossRef
  2. Roberts CA, Sage AJ, Geryk LL, Sleath BL, Carpenter DM. Adolescent feedback on predisposing, reinforcing and enabling features in asthma self-management apps. Health Education Journal 2019;78(7):770
    CrossRef
  3. Fitzgerald M, McClelland T. What makes a mobile app successful in supporting health behaviour change?. Health Education Journal 2017;76(3):373
    CrossRef
  4. Dupuis K, Tsotsos L. Technology for Remote Health Monitoring in an Older Population: A Role for Mobile Devices. Multimodal Technologies and Interaction 2018;2(3):43
    CrossRef
  5. Paglialonga A, Lugo A, Santoro E. An overview on the emerging area of identification, characterization, and assessment of health apps. Journal of Biomedical Informatics 2018;83:97
    CrossRef
  6. Brignone L, Edleson JL. The Dating and Domestic Violence App Rubric: Synthesizing Clinical Best Practices and Digital Health App Standards for Relationship Violence Prevention Smartphone Apps. International Journal of Human–Computer Interaction 2019;35(19):1859
    CrossRef
  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
    CrossRef
  8. Molina Recio G, García-Hernández L, Molina Luque R, Salas-Morera L. The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review. BioMedical Engineering OnLine 2016;15(S1)
    CrossRef
  9. Paglialonga A, Pinciroli F, Tognola G. The ALFA4Hearing Model (At-a-Glance Labeling for Features of Apps for Hearing Health Care) to Characterize Mobile Apps for Hearing Health Care. American Journal of Audiology 2017;26(3S):408
    CrossRef
  10. McClelland GT, Fitzgerald M. A participatory mobile application (app) development project with mental health service users and clinicians. Health Education Journal 2018;77(7):815
    CrossRef
  11. Boudreaux ED, Waring ME, Hayes RB, Sadasivam RS, Mullen S, Pagoto S. Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations. Translational Behavioral Medicine 2014;4(4):363
    CrossRef
  12. Lane TS, Armin J, Gordon JS. Online Recruitment Methods for Web-Based and Mobile Health Studies: A Review of the Literature. Journal of Medical Internet Research 2015;17(7):e183
    CrossRef
  13. Seely EW, Weitzman PF, Cortes D, Romero Vicente S, Levkoff SE. Development and Feasibility of an App to Decrease Risk Factors for Type 2 Diabetes in Hispanic Women With Recent Gestational Diabetes (Hola Bebé, Adiós Diabetes): Pilot Pre-Post Study. JMIR Formative Research 2020;4(12):e19677
    CrossRef
  14. Krishnaswami A, Beavers C, Dorsch MP, Dodson JA, Masterson Creber R, Kitsiou S, Goyal P, Maurer MS, Wenger NK, Croy DS, Alexander KP, Batsis JA, Turakhia MP, Forman DE, Bernacki GM, Kirkpatrick JN, Orr NM, Peterson ED, Rich MW, Freeman AM, Bhavnani SP. Gerotechnology for Older Adults With Cardiovascular Diseases. Journal of the American College of Cardiology 2020;76(22):2650
    CrossRef
  15. Portenhauser AA, Terhorst Y, Schultchen D, Sander LB, Denkinger MD, Stach M, Waldherr N, Dallmeier D, Baumeister H, Messner E. Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores. JMIR Aging 2021;4(1):e23313
    CrossRef
  16. Sheon A, Van Winkle B, Solad Y, Atreja A. An Algorithm for Digital Medicine Testing: A NODE.Health Perspective Intended to Help Emerging Technology Companies and Healthcare Systems Navigate the Trial and Testing Period prior to Full-Scale Adoption. Digital Biomarkers 2018;2(3):139
    CrossRef
  17. Ayanso A, Han M, Zihayat M. An automated mobile app labeling framework based on primary motivations for smartphone use. International Journal of Web Information Systems 2022;18(1):23
    CrossRef
  18. Yau KW, Tang TS, Görges M, Pinkney S, Kim AD, Kalia A, Amed S. Effectiveness of Mobile Apps in Promoting Healthy Behavior Changes and Preventing Obesity in Children: Systematic Review. JMIR Pediatrics and Parenting 2022;5(1):e34967
    CrossRef
  19. Schomakers E, Lidynia C, Vervier LS, Calero Valdez A, Ziefle M. Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study. JMIR mHealth and uHealth 2022;10(1):e27095
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.2877):

  1. Han P, Li Y, Yin Y, An N. Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance. 2019. Chapter 3:34
    CrossRef
  2. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero JM, Molina-Luque R, Sánchez-Muñoz AA, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. 2015. Chapter 3:24
    CrossRef
  3. . M‐Health: Fundamentals and Applications. 2016. :189
    CrossRef
  4. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. 2019. chapter 7:161
    CrossRef
  5. Deb R, Mahto PK, Deka L. Recent Developments in Individual and Organizational Adoption of ICTs. 2021. chapter 10:169
    CrossRef