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Cited by in F6Publishing
For: Li T, Chen X, Wang J, Chen L, Cai W. Mobile App-Based Intervention for Pregnant Women With Stress Urinary Incontinence: Protocol for a Hybrid Effectiveness-Implementation Trial. JMIR Res Protoc 2021;10:e22771. [PMID: 33688842 DOI: 10.2196/22771] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Yi Z. A Systematic Literature Review for Interface design of pelvic floor muscle training mobile app base on mHealth 2017-2022 (Preprint).. [DOI: 10.2196/preprints.45221] [Reference Citation Analysis]
2 Ali H, Ahmed A, Olivos C, Khamis K, Liu J. Mitigating urinary incontinence condition using machine learning. BMC Med Inform Decis Mak 2022;22. [DOI: 10.1186/s12911-022-01987-3] [Reference Citation Analysis]
3 Jaffar A, Tan CE, Mohd-Sidik S, Admodisastro N, Goodyear-Smith F. Persuasive Technology in an mHealth App Designed for Pelvic Floor Muscle Training Among Women: Systematic Review. JMIR Mhealth Uhealth 2022;10:e28751. [PMID: 35315777 DOI: 10.2196/28751] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]