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Citing this Article

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Published on 30.05.16 in Vol 18, No 5 (2016): May

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

Works citing "Hearing Tests on Mobile Devices: Evaluation of the Reference Sound Level by Means of Biological Calibration"

Marcin Masalski, Lech Kipiński, Tomasz Grysiński, Tomasz Kręcicki

J Med Internet Res 2016 (May 30); 18(5):e130 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4987):

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

  1. 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
  2. Wallace J, Kanegaonkar R. The role of smartphone applications in clinical practice: a review. The Journal of Laryngology & Otology 2020;134(2):96
    CrossRef
  3. Corry M, Sanders M, Searchfield GD. The accuracy and reliability of an app-based audiometer using consumer headphones: pure tone audiometry in a normal hearing group. International Journal of Audiology 2017;56(9):706
    CrossRef
  4. Masalski M, Morawski K. Worldwide Prevalence of Hearing Loss Among Smartphone Users: Cross-Sectional Study Using a Mobile-Based App. Journal of Medical Internet Research 2020;22(7):e17238
    CrossRef
  5. Moumtzoglou A, Pouliakis A. Population Health Management and the Science of Individuality. International Journal of Reliable and Quality E-Healthcare 2018;7(2):1
    CrossRef
  6. Ho C, Li P, Young S. Reference equivalent threshold sound pressure levels for Apple EarPods. The Journal of the Acoustical Society of America 2017;141(2):EL115
    CrossRef
  7. Deshpande AK, Shimunova T. A Comprehensive Evaluation of Tinnitus Apps. American Journal of Audiology 2019;28(3):605
    CrossRef
  8. Masalski M, Grysiński T, Kręcicki T. Hearing Tests Based on Biologically Calibrated Mobile Devices: Comparison With Pure-Tone Audiometry. JMIR mHealth and uHealth 2018;6(1):e10
    CrossRef
  9. Paglialonga A, Cleveland Nielsen A, Ingo E, Barr C, Laplante-Lévesque A. eHealth and the hearing aid adult patient journey: a state-of-the-art review. BioMedical Engineering OnLine 2018;17(1)
    CrossRef
  10. Chu Y, Cheng Y, Lai Y, Tsao Y, Tu T, Young ST, Chen T, Chung Y, Lai F, Liao W. A Mobile Phone–Based Approach for Hearing Screening of School-Age Children: Cross-Sectional Validation Study. JMIR mHealth and uHealth 2019;7(4):e12033
    CrossRef
  11. Yimtae K, Israsena P, Thanawirattananit P, Seesutas S, Saibua S, Kasemsiri P, Noymai A, Soonrach T. A Tablet-Based Mobile Hearing Screening System for Preschoolers: Design and Validation Study. JMIR mHealth and uHealth 2018;6(10):e186
    CrossRef
  12. Li LYJ, Wang S, Wu C, Tsai C, Wu T, Lin Y. Screening for Hearing Impairment in Older Adults by Smartphone-Based Audiometry, Self-Perception, HHIE Screening Questionnaire, and Free-Field Voice Test: Comparative Evaluation of the Screening Accuracy With Standard Pure-Tone Audiometry. JMIR mHealth and uHealth 2020;8(10):e17213
    CrossRef
  13. Lin HH, Chu Y, Lai Y, Cheng H, Lai F, Cheng Y, Liao W. A Smartphone-Based Approach to Screening for Sudden Sensorineural Hearing Loss: Cross-Sectional Validity Study. JMIR mHealth and uHealth 2020;8(11):e23047
    CrossRef
  14. Patel K, Thibodeau L, McCullough D, Freeman E, Panahi I. Development and Pilot Testing of Smartphone-Based Hearing Test Application. International Journal of Environmental Research and Public Health 2021;18(11):5529
    CrossRef
  15. Holtmann LC, Deuß E, Meyer M, Kaster F, Bastian T, Schleupner MC, Hagedorn E, Lang S, Arweiler-Harbeck D. Detection accuracy of soft tissue complications during remote cochlear implant follow-up. Cochlear Implants International 2022;23(5):249
    CrossRef
  16. Wasmann J, Pragt L, Eikelboom R, Swanepoel DW. Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review. Journal of Medical Internet Research 2022;24(2):e32581
    CrossRef
  17. Li LJ, Wang S, Yang J, Chen C, Tsai C, Wu LY, Wu T, Wu C. Validation of a Personalized Hearing Screening Mobile Health Application for Persons with Moderate Hearing Impairment. Journal of Personalized Medicine 2021;11(10):1035
    CrossRef
  18. . A REVIEW OF CONTEMPORARY TELE-AUDIOLOGY LITERATURE. Journal of Hearing Science 2016;6(3):9
    CrossRef
  19. Kwong TC, Choy YS, Mung SWY. Remote-Control Sound Pattern Recognition for Auditory Assessment and Therapy in Smart Healthcare. IEEE Access 2023;11:41167
    CrossRef
  20. Masalski M, Turski M, Zatoński T. Self-assessment of bone conduction hearing threshold using mobile audiometry: comparison with pure tone audiometry. International Journal of Audiology 2023;:1
    CrossRef
  21. Lun Y, Chen J, Lu P, Yuan H, Ma P, Wang W, Liang R, Li S, Gao W, Ding X, Wang Z, Guo J, Lu L. Predictive value of serum proteomic biomarkers for noise-induced hearing loss. Environmental Science and Pollution Research 2023;30(43):96827
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.4987):

  1. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. 2019. chapter 7:161
    CrossRef
  2. Moumtzoglou A, Pouliakis A. Data Analytics in Medicine. 2020. chapter 4:74
    CrossRef
  3. Moumtzoglou AS, Pouliakis A. Quality Assurance in the Era of Individualized Medicine. 2020. chapter 2:21
    CrossRef
  4. Moumtzoglou AS, Pouliakis A. Quality of Healthcare in the Aftermath of the COVID-19 Pandemic. 2022. chapter 2:8
    CrossRef