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Article: Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis

TitleHeterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis
Authors
Cheng, CEbrahimi, OVLuk, JW
Issue Date2022
Citation
Journal of Medical Internet Research, 2022, v. 24, p. e27000 How to Cite?
DOI: http://dx.doi.org/10.2196/27000
Persistent Identifierhttp://hdl.handle.net/10722/320801
ISI Accession Number ID
WOS:000766781800006

 

DC FieldValueLanguage
dc.contributor.authorCheng, C-
dc.contributor.authorEbrahimi, OV-
dc.contributor.authorLuk, JW-
dc.date.accessioned2022-11-01T04:41:29Z-
dc.date.available2022-11-01T04:41:29Z-
dc.date.issued2022-
dc.identifier.citationJournal of Medical Internet Research, 2022, v. 24, p. e27000-
dc.identifier.urihttp://hdl.handle.net/10722/320801-
dc.languageeng-
dc.relation.ispartofJournal of Medical Internet Research-
dc.titleHeterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis-
dc.typeArticle-
dc.identifier.emailCheng, C: ceccheng@hku.hk-
dc.identifier.authorityCheng, C=rp00588-
dc.identifier.doi10.2196/27000-
dc.identifier.hkuros341087-
dc.identifier.volume24-
dc.identifier.spagee27000-
dc.identifier.epagee27000-
dc.identifier.isiWOS:000766781800006-

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