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Article: Predicting sugar consumption: Application of an integrated dual-process, dual-phase model

TitlePredicting sugar consumption: Application of an integrated dual-process, dual-phase model
Authors
Issue Date2017
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/appet
Citation
Appetite, 2017, v. 116, p. 147-156 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/250173
ISSN
2017 Impact Factor: 3.174
2015 SCImago Journal Rankings: 1.375
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHagger, MS-
dc.contributor.authorTrost, N-
dc.contributor.authorKeech, JJ-
dc.contributor.authorChan, DKC-
dc.contributor.authorHamilton, K-
dc.date.accessioned2017-12-20T09:21:50Z-
dc.date.available2017-12-20T09:21:50Z-
dc.date.issued2017-
dc.identifier.citationAppetite, 2017, v. 116, p. 147-156-
dc.identifier.issn0195-6663-
dc.identifier.urihttp://hdl.handle.net/10722/250173-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/appet-
dc.relation.ispartofAppetite-
dc.rightsPosting accepted manuscript (postprint): © <year>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.titlePredicting sugar consumption: Application of an integrated dual-process, dual-phase model-
dc.typeArticle-
dc.identifier.emailChan, DKC: derwin.chan@hku.hk-
dc.identifier.authorityChan, DKC=rp02068-
dc.identifier.doi10.1016/j.appet.2017.04.032-
dc.identifier.hkuros283734-
dc.identifier.volume116-
dc.identifier.spage147-
dc.identifier.epage156-
dc.identifier.isiWOS:000405972700018-
dc.publisher.placeNetherlands-

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