This paper is in the following e-collection/theme issue:

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) New Methods (944) Insomnia and Sleep Hygiene (167) Sleep Monitoring, Sleep Quality, Sleep Disorders (183)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15697, first published .
Viewing Trends and Users’ Perceptions of the Effect of Sleep-Aiding Music on YouTube: Quantification and Thematic Content Analysis

Viewing Trends and Users’ Perceptions of the Effect of Sleep-Aiding Music on YouTube: Quantification and Thematic Content Analysis

Viewing Trends and Users’ Perceptions of the Effect of Sleep-Aiding Music on YouTube: Quantification and Thematic Content Analysis

Authors of this article:

Ransome Eke1 Author Orcid Image ;   Tong Li2 Author Orcid Image ;   Kiersten Bond1 Author Orcid Image ;   Arlene Ho2 Author Orcid Image ;   Lisa Graves2 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

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  1. Vizcaíno-Verdú A, Contreras-Pulido P, Guzmán-Franco M. Youtube musicians and self-perceived multimedia, hypermedia, intertextual and transmedia competencies. Learning, Media and Technology 2021;46(4):515 View
  2. Wang J. Preservation and promotion of China’s musical cultural heritage on the internet. Heritage Science 2021;9(1) View
  3. Toussaint P, Renner M, Lins S, Thiebes S, Sunyaev A. Direct-to-Consumer Genetic Testing on Social Media: Topic Modeling and Sentiment Analysis of YouTube Users' Comments. JMIR Infodemiology 2022;2(2):e38749 View
  4. Milani R, Sommovigo V, Ghirotto L, Setti I. Individual differences in learning agility at work: A mixed methods study to develop and validate a new scale. Human Resource Development Quarterly 2024 View