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For: Hiremath SV, Amiri AM, Thapa-Chhetry B, Snethen G, Schmidt-Read M, Ramos-Lamboy M, Coffman DL, Intille SS. Mobile health-based physical activity intervention for individuals with spinal cord injury in the community: A pilot study. PLoS One 2019;14:e0223762. [PMID: 31613909 DOI: 10.1371/journal.pone.0223762] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Lakshminarayanan R, Canori A, Ponnada A, Nunn M, Read MS, Hiremath SV, Intille S. Exploring Opportunities to Improve Physical Activity in Individuals with Spinal Cord Injury Using Context-Aware Messaging. Proc ACM Hum -Comput Interact 2022;6:1-27. [DOI: 10.1145/3555628] [Reference Citation Analysis]
2 Motahar T, Ghosh I, Wiese J. Identifying factors that inhibit self-care behavior among individuals with severe spinal cord injury. CHI Conference on Human Factors in Computing Systems 2022. [DOI: 10.1145/3491102.3517658] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Singh G, Macgillivray MK, Simpson E, Sawatzky BJ, Mortenson WB. Mobile health apps and self-management for spinal cord injury rehabilitation. Diagnosis and Treatment of Spinal Cord Injury 2022. [DOI: 10.1016/b978-0-12-822498-4.00042-7] [Reference Citation Analysis]
4 Fu J, Zhang S, Wang H, Zhao YD, Qian G. A Novel Mobile Device-Based Approach to Quantitative Mobility Measurements for Power Wheelchair Users. Sensors (Basel) 2021;21:8275. [PMID: 34960371 DOI: 10.3390/s21248275] [Reference Citation Analysis]
5 Peng W, Li L, Kononova A, Cotten S, Kamp K, Bowen M. Habit Formation in Wearable Activity Tracker Use Among Older Adults: Qualitative Study. JMIR Mhealth Uhealth 2021;9:e22488. [PMID: 33464216 DOI: 10.2196/22488] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 12.0] [Reference Citation Analysis]
6 Ajayi TA, Salongo L, Zang Y, Wineinger N, Steinhubl S. Mobile Health-Collected Biophysical Markers in Children with Serious Illness-Related Pain. J Palliat Med 2021;24:580-8. [PMID: 33351729 DOI: 10.1089/jpm.2020.0234] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
7 Alsiddiky A, Awwad W, Bakarman K, Fouad H, Mahmoud NM. Magnetic resonance imaging evaluation of vertebral tumor prediction using hierarchical hidden Markov random field model on Internet of Medical Things (IOMT) platform. Measurement 2020;159:107772. [DOI: 10.1016/j.measurement.2020.107772] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 7.5] [Reference Citation Analysis]
8 Canori A, Amiri AM, Thapa-Chhetry B, Finley MA, Schmidt-Read M, Lamboy MR, Intille SS, Hiremath SV. Relationship between pain, fatigue, and physical activity levels during a technology-based physical activity intervention. J Spinal Cord Med 2021;44:549-56. [PMID: 32496966 DOI: 10.1080/10790268.2020.1766889] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Shwetar YJ, Veerubhotla AL, Huang Z, Ding D. Comparative validity of energy expenditure prediction algorithms using wearable devices for people with spinal cord injury. Spinal Cord 2020;58:821-30. [PMID: 32020039 DOI: 10.1038/s41393-020-0427-5] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
10 Hiremath SV, Amiri AM, Thapa-Chhetry B, Snethen G, Schmidt-Read M, Ramos-Lamboy M, Coffman DL, Intille SS. Correction: Mobile health-based physical activity intervention for individuals with spinal cord injury in the community: A pilot study. PLoS One 2019;14:e0225490. [PMID: 31725792 DOI: 10.1371/journal.pone.0225490] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]