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Cited by in F6Publishing
For: Doi T, Nakakubo S, Tsutsumimoto K, Kurita S, Ishii H, Shimada H. Spatiotemporal gait characteristics and risk of mortality in community-dwelling older adults. Maturitas 2021;151:31-5. [PMID: 34446276 DOI: 10.1016/j.maturitas.2021.06.007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Jiang M, Wu S, Zhang Y, Li Y, Lin B, Pan Q, Tian S, Ni R, Liu Q, Zhu Y. Impact of White Matter Hyperintensity and Age on Gait Parameters in Patients With Cerebral Small Vessel Disease. J Am Med Dir Assoc 2022:S1525-8610(22)00924-0. [PMID: 36592938 DOI: 10.1016/j.jamda.2022.12.001] [Reference Citation Analysis]
2 Scandurra G, Basile G, Ciofi C. Very Simple System for Walking-Speed Measurement in Geriatric Patients. Electronics 2022;11:3159. [DOI: 10.3390/electronics11193159] [Reference Citation Analysis]
3 Seo J, Kim J, Lee S, Tack G, Choi J. Development of Gait Measurement System Combined with IMU and Loadcell Insole: A Pilot Study. KSPE 2022;39:657-662. [DOI: 10.7736/jkspe.022.073] [Reference Citation Analysis]
4 Yuan Y, Lin S, Lin W, Huang F, Zhu P. Modifiable predictive factors and all-cause mortality in the non-hospitalized elderly population: An umbrella review of meta-analyses. Exp Gerontol 2022;163:111792. [PMID: 35367595 DOI: 10.1016/j.exger.2022.111792] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]