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Cited by 353

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A ‘Mouth-feel Wheel’: terminology for communicating the mouth-feel characteristics of red wine

Open access
GAWEL, RICHARD, OBERHOLSTER, A., FRANCIS, I. LEIGH·2000·Australian Journal of Grape and Wine Research

Abstract

A hierarchically structured vocabulary of mouth-feel sensations elicited by red wines has been produced. Represented as a wheel, this structured vocabulary should assist tasters in their interpretation and use of terminology relating to ‘in mouth’ sensations produced by red wines. These terms and their definitions were generated by consulting the opinions of experienced wine tasters following exposure to an extensive range of commercial red wines. Logical relationships among the derived terms were formulated by analysis of ‘sorting data’ provided by a combined group of experienced winemakers and wine-tasters.

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Crossref · 10.1111/j.1755-0238.2000.tb00180.x

Cites

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Metadata

Authors
GAWEL, R., OBERHOLSTER, A., & FRANCIS, I. L.
Venue
Australian Journal of Grape and Wine Research
Published
2000-10
Volume
6
Issue
3
Pages
203-207
ISSN
  • 1322-7130 (ISSN-L)
  • 1755-0238
OpenAlex
W2092409814
Cited by
353
References
3
FWCI
4.77
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A ‘Mouth-feel Wheel’: terminology for communicating the mouth-feel characteristics of red wine. https://app.cochat.ai/papers/10.1111/j.1755-0238.2000.tb00180.x
The paper
GAWEL, R., OBERHOLSTER, A., & FRANCIS, I. L. (2000). A ‘Mouth-feel Wheel’: terminology for communicating the mouth-feel characteristics of red wine. Australian Journal of Grape and Wine Research. https://doi.org/10.1111/j.1755-0238.2000.tb00180.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.