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Cited by in F6Publishing
For: Xiao M, Lei X, Zhang F, Sun Z, Harris VC, Tang X, Yan L. Home Blood Pressure Monitoring by a Mobile-Based Model in Chongqing, China: A Feasibility Study. Int J Environ Res Public Health 2019;16:E3325. [PMID: 31509950 DOI: 10.3390/ijerph16183325] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Shi B, Liu X, Dong Q, Yang Y, Cai Z, Wang H, Yin D, Wang H, Dou K, Song W. The Effect of a WeChat-Based Tertiary A-Level Hospital Intervention on Medication Adherence and Risk Factor Control in Patients With Stable Coronary Artery Disease: Multicenter Prospective Study. JMIR Mhealth Uhealth 2021;9:e32548. [PMID: 34569467 DOI: 10.2196/32548] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
2 Edmondson C, Westrupp N, Seddon P, Olden C, Wallis C, Dawson C, Brodlie M, Baxter F, McCormick J, MacFarlane S, Rice D, Macleod A, Brooker R, Connon M, Ghayyda S, Blaikie L, Thursfield R, Brown L, Price A, Fleischer E, Itterman J, Hughes D, Barrett P, Surette M, Donnelly C, Mateos-Corral D, Padley G, Wallenburg J, Brownlee K, Alton EWFW, Bush A, Davies JC. The feasibility of home monitoring of young people with cystic fibrosis: Results from CLIMB-CF. J Cyst Fibros 2021:S1569-1993(21)01423-5. [PMID: 34635459 DOI: 10.1016/j.jcf.2021.09.018] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
3 Huang H, Chen Z, Cao S, Xiao M, Xie L, Zhao Q. Adoption Intention and Factors Influencing the Use of Gerontechnology in Chinese Community-Dwelling Older Adults: A Mixed-Methods Study. Front Public Health 2021;9:687048. [PMID: 34604153 DOI: 10.3389/fpubh.2021.687048] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Mugabirwe B, Flickinger T, Cox L, Ariho P, Dillingham R, Okello S. Acceptability and feasibility of a mobile health application for blood pressure monitoring in rural Uganda. JAMIA Open 2021;4:ooaa068. [PMID: 34514350 DOI: 10.1093/jamiaopen/ooaa068] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
5 Shi B, Liu X, Dong Q, Yang Y, Cai Z, Wang H, Yin D, Wang H, Dou K, Song W. The Effect of a WeChat-Based Tertiary A-Level Hospital Intervention on Medication Adherence and Risk Factor Control in Patients With Stable Coronary Artery Disease: Multicenter Prospective Study (Preprint).. [DOI: 10.2196/preprints.32548] [Reference Citation Analysis]
6 Chen X, Zhou X, Li H, Li J, Jiang H. The value of WeChat application in chronic diseases management in China. Computer Methods and Programs in Biomedicine 2020;196:105710. [DOI: 10.1016/j.cmpb.2020.105710] [Cited by in Crossref: 26] [Cited by in F6Publishing: 28] [Article Influence: 8.7] [Reference Citation Analysis]
7 Odendaal WA, Anstey Watkins J, Leon N, Goudge J, Griffiths F, Tomlinson M, Daniels K. Health workers' perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. Cochrane Database Syst Rev 2020;3:CD011942. [PMID: 32216074 DOI: 10.1002/14651858.CD011942.pub2] [Cited by in Crossref: 45] [Cited by in F6Publishing: 63] [Article Influence: 15.0] [Reference Citation Analysis]
8 Shen X, Zhou Y, Tong G, Liu T, Wang D. Characterizing individual patient and tailoring personalized continued hypertension management using serial self-monitored data (Preprint). JMIR Cardio. [DOI: 10.2196/16433] [Reference Citation Analysis]
9 Zhou Y, Shen X, Tong G, Wang D, Liu T. Characteristics with individual series of home blood measurement and implications for personalized interventions (Preprint).. [DOI: 10.2196/preprints.16433] [Reference Citation Analysis]