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For: Cesari M, Stefani A, Mitterling T, Frauscher B, Schönwald SV, Högl B. Sleep modelled as a continuous and dynamic process predicts healthy ageing better than traditional sleep scoring. Sleep Med 2021;77:136-46. [PMID: 33360558 DOI: 10.1016/j.sleep.2020.11.033] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Hermans LW, Huijben IA, van Gorp H, Leufkens TR, Fonseca P, Overeem S, van Gilst MM. Representations of temporal sleep dynamics: review and synthesis of the literature. Sleep Medicine Reviews 2022. [DOI: 10.1016/j.smrv.2022.101611] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Cesari M, Stefani A, Penzel T, Ibrahim A, Hackner H, Heidbreder A, Szentkirályi A, Stubbe B, Völzke H, Berger K, Högl B. Interrater sleep stage scoring reliability between manual scoring from two European sleep centers and automatic scoring performed by the artificial intelligence-based Stanford-STAGES algorithm. J Clin Sleep Med 2021;17:1237-47. [PMID: 33599203 DOI: 10.5664/jcsm.9174] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 10.0] [Reference Citation Analysis]