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Citing this Article

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Published on 30.07.14 in Vol 16, No 7 (2014): July

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

Works citing "Purple: A Modular System for Developing and Deploying Behavioral Intervention Technologies"

Stephen M Schueller, Mark Begale, Frank J Penedo, David C Mohr

J Med Internet Res 2014 (Jul 30); 16(7):e181 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3376):

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

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  3. Shawen N, Lonini L, Mummidisetty CK, Shparii I, Albert MV, Kording K, Jayaraman A. Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications. JMIR mHealth and uHealth 2017;5(10):e151
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  4. Doherty K, Doherty G. The construal of experience in HCI: Understanding self-reports. International Journal of Human-Computer Studies 2018;110:63
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  5. Montag C, Baumeister H, Kannen C, Sariyska R, Meßner E, Brand M. Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology. J 2019;2(2):102
    CrossRef
  6. Saeb S, Zhang M, Karr CJ, Schueller SM, Corden ME, Kording KP, Mohr DC. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. Journal of Medical Internet Research 2015;17(7):e175
    CrossRef
  7. Penedo FJ, Fox RS, Oswald LB, Moreno PI, Boland CL, Estabrook R, McGinty HL, Mohr DC, Begale MJ, Dahn JR, Flury SC, Perry KT, Kundu SD, Yanez B. Technology-Based Psychosocial Intervention to Improve Quality of Life and Reduce Symptom Burden in Men with Advanced Prostate Cancer: Results from a Randomized Controlled Trial. International Journal of Behavioral Medicine 2020;27(5):490
    CrossRef
  8. Yanez B, McGinty HL, Mohr DC, Begale MJ, Dahn JR, Flury SC, Perry KT, Penedo FJ. Feasibility, acceptability, and preliminary efficacy of a technology‐assisted psychosocial intervention for racially diverse men with advanced prostate cancer. Cancer 2015;121(24):4407
    CrossRef
  9. Rubanovich CK, Mohr DC, Schueller SM. Health App Use Among Individuals With Symptoms of Depression and Anxiety: A Survey Study With Thematic Coding. JMIR Mental Health 2017;4(2):e22
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  10. Seo D, Niu J. Evaluation of Internet-Based Interventions on Waist Circumference Reduction: A Meta-Analysis. Journal of Medical Internet Research 2015;17(7):e181
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  11. Batalas N, Khan V, Franzen M, Markopoulos P, aan het Rot M. Formal representation of ambulatory assessment protocols in HTML5 for human readability and computer execution. Behavior Research Methods 2019;51(6):2761
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  12. Hernandez R, Cheung E, Carnethon M, Penedo FJ, Moskowitz JT, Martinez L, Schueller SM. Feasibility of a culturally adapted positive psychological intervention for Hispanics/Latinos with elevated risk for cardiovascular disease. Translational Behavioral Medicine 2018;8(6):887
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  13. Narziev N, Goh H, Toshnazarov K, Lee SA, Chung K, Noh Y. STDD: Short-Term Depression Detection with Passive Sensing. Sensors 2020;20(5):1396
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  14. Ramsey AT, Wetherell JL, Depp C, Dixon D, Lenze E. Feasibility and Acceptability of Smartphone Assessment in Older Adults with Cognitive and Emotional Difficulties. Journal of Technology in Human Services 2016;34(2):209
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  15. Aledavood T, Triana Hoyos AM, Alakörkkö T, Kaski K, Saramäki J, Isometsä E, Darst RK. Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype. JMIR Research Protocols 2017;6(6):e110
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  16. Baumann AA, Cabassa LJ. Reframing implementation science to address inequities in healthcare delivery. BMC Health Services Research 2020;20(1)
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  17. Turvey CL, Roberts LJ. Recent developments in the use of online resources and mobile technologies to support mental health care. International Review of Psychiatry 2015;27(6):547
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  18. Batalas N, aan het Rot M, Khan VJ, Markopoulos P. Using TEMPEST. Proceedings of the ACM on Human-Computer Interaction 2018;2(EICS):1
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  19. Carpenter RW, Wycoff AM, Trull TJ. Ambulatory Assessment. Assessment 2016;23(4):414
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  21. Barrigon ML, Courtet P, Oquendo M, Baca-García E. Precision Medicine and Suicide: an Opportunity for Digital Health. Current Psychiatry Reports 2019;21(12)
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  22. Schueller SM, Washburn JJ, Price M. Exploring mental health providers' interest in using web and mobile-based tools in their practices. Internet Interventions 2016;4:145
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  23. Boonstra TW, Nicholas J, Wong QJ, Shaw F, Townsend S, Christensen H. Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions. Journal of Medical Internet Research 2018;20(7):e10131
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  24. Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms. Evidence Based Mental Health 2017;20(3):65
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  25. Zylstra B, Netscher G, Jacquemot J, Schaffer M, Shen G, Bowhay AD, Braley TL, Possin KL, Miller BL, Bayen AM, Bonasera SJ, Schenk AK. Extended, continuous measures of functional status in community dwelling persons with Alzheimer’s and related dementia: Infrastructure, performance, tradeoffs, preliminary data, and promise. Journal of Neuroscience Methods 2018;300:59
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  26. Jonathan GK, Dopke CA, Michaels T, Martin CR, Adhikari K, Krakauer RL, Ryan C, McBride A, Babington P, Frauenhofer E, Silver J, Capra C, Simon M, Begale M, Mohr DC, Goulding EH. User-Centered Development of LiveWell: A Smartphone Based Self-Management Intervention for Bipolar Disorder (Preprint). JMIR Mental Health 2020;
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  27. Wang X, Vouk N, Heaukulani C, Buddhika T, Martanto W, Lee J, Morris RJ. HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning. Journal of Medical Internet Research 2021;23(3):e23984
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  28. Penedo FJ, Fox RS, Walsh EA, Yanez B, Miller GE, Oswald LB, Estabrook R, Chatterton RT, Mohr DC, Begale MJ, Flury SC, Perry K, Kundu SD, Moreno PI. Effects of web-based cognitive behavioral stress management and health promotion interventions on neuroendocrine and inflammatory markers in men with advanced prostate cancer: A randomized controlled trial. Brain, Behavior, and Immunity 2021;95:168
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  29. Shirvani T, Javadivala Z, Azimi S, Shaghaghi A, Fathifar Z, Devender Bhalla HDR, Abdekhoda M, Nadrian H. Community-based educational interventions for prevention of type II diabetes: a global systematic review and meta-analysis. Systematic Reviews 2021;10(1)
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  30. Sheikh M, Qassem M, Kyriacou PA. Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring. Frontiers in Digital Health 2021;3
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  31. Klein A, Clucas J, Krishnakumar A, Ghosh SS, Van Auken W, Thonet B, Sabram I, Acuna N, Keshavan A, Rossiter H, Xiao Y, Semenuta S, Badioli A, Konishcheva K, Abraham SA, Alexander LM, Merikangas KR, Swendsen J, Lindner AB, Milham MP. Remote Digital Psychiatry for Mobile Mental Health Assessment and Therapy: MindLogger Platform Development Study. Journal of Medical Internet Research 2021;23(11):e22369
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  32. Harari Y, Shawen N, Mummidisetty CK, Albert MV, Kording KP, Jayaraman A. A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls. Journal of NeuroEngineering and Rehabilitation 2021;18(1)
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  33. Goulding EH, Dopke CA, Rossom RC, Michaels T, Martin CR, Ryan C, Jonathan G, McBride A, Babington P, Bernstein M, Bank A, Garborg CS, Dinh JM, Begale M, Kwasny MJ, Mohr DC. A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Empirical and Theoretical Framework, Intervention Design, and Study Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(2):e30710
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  34. . Software Architecture Patterns for Extending Sensing Capabilities and Data Formatting in Mobile Sensing. Sensors 2022;22(7):2813
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  35. Mendes JPM, Moura IR, Van de Ven P, Viana D, Silva FJS, Coutinho LR, Teixeira S, Rodrigues JJPC, Teles AS. Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review. Journal of Medical Internet Research 2022;24(2):e28735
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  36. Kim S, Lee K. Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods. Neuropsychiatric Disease and Treatment 2021;Volume 17:3415
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  37. Liu Y, Kang K, Doe MJ. HADD: High-Accuracy Detection of Depressed Mood. Technologies 2022;10(6):123
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  38. Benzo RM, Moreno PI, Noriega‐Esquives B, Otto AK, Penedo FJ. Who benefits from an eHealth‐based stress management intervention in advanced prostate cancer? Results from a randomized controlled trial. Psycho-Oncology 2022;31(12):2063
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  39. Rahmani AM, Lai J, Jafarlou S, Azimi I, Yunusova A, Rivera AP, Labbaf S, Anzanpour A, Dutt N, Jain R, Borelli JL. Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being. Frontiers in Digital Health 2022;4
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  40. Ilyas Y, Hassanbeigi Daryani S, Kiriella D, Pachwicewicz P, Boley RA, Reyes KM, Smith DL, Zalta AK, Schueller SM, Karnik NS, Stiles-Shields C. Geolocation Patterns, Wi-Fi Connectivity Rates, and Psychiatric Symptoms Among Urban Homeless Youth: Mixed Methods Study Using Self-report and Smartphone Data. JMIR Formative Research 2023;7:e45309
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  41. Elledge DK, Lee SC, Stewart SM, Pop R, Trivedi MH, Hughes JL. Examining a Resilience Mental Health App in Adolescents: Acceptability and Feasibility Study. JMIR Formative Research 2023;7:e38042
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  42. Langholm C, Kowatsch T, Bucci S, Cipriani A, Torous J. Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research. Digital Biomarkers 2023;:104
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  43. Nair US, Kue J, Athilingam P, Rodríguez CS, Menon U. Application of the ConNECT Framework to achieve digital health equity. Nursing Outlook 2023;71(4):101991
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  44. Kadirvelu B, Bellido Bel T, Wu X, Burmester V, Ananth S, Cabral C C Branco B, Girela-Serrano B, Gledhill J, Di Simplicio M, Nicholls D, Faisal AA. Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study. JMIR Formative Research 2023;7:e44877
    CrossRef
  45. Khoo LS, Lim MK, Chong CY, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3376):

  1. Trull TJ, Griffin SA, Helle AC. The Cambridge Handbook of Clinical Assessment and Diagnosis. 2019. 7:80
    CrossRef
  2. . Encyclopedia of Behavioral Medicine. 2018. Chapter 101954-1:1
    CrossRef
  3. Ebert DD, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. 2019. Chapter 29:583
    CrossRef
  4. . Encyclopedia of Behavioral Medicine. 2020. Chapter 101954:1953
    CrossRef
  5. Laurindo LEC, de Moura IR, Coutinho LR, da Silva e Silva FJ. Pervasive Computing Technologies for Healthcare. 2023. Chapter 43:651
    CrossRef