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Cited by 878

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

University of pennsylvania smell identification test: A rapid quantitative olfactory function test for the clinic

Doty, Richard L., Shaman, Paul, Kimmelman, Charles P., Dann, Michael S.·1984·The Laryngoscope

Abstract

Despite the fact that clinical otolaryngologists are often presented with complaints of olfactory dysfunction, they have limited means to diagnose these problems. A major reason has been the lack of a clinically‐useful and reliable quantitative test of olfactory function. Recent work at our Clinical Research Center has resulted in the development of such a test. This test — the University of Pennsylvania Smell Identification Test (UPSIT) — can be self‐administered and uses microencapsulated odorants which are released by scratching standardized odor‐impregnated test booklets. As indicated in this paper, studies have demonstrated that the UPSIT can identify most malingerers and is sensitive to age, gender, smoking habits, and a wide variety of olfactory disorders. A description of this new test, along with some of its applications, is presented.

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Crossref · 10.1288/00005537-198402000-00004

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Metadata

Authors
Doty, R. L., Shaman, P., Kimmelman, C. P., & Dann, M. S.
Venue
The Laryngoscope
Publisher
Wiley
Published
1984-02
Volume
94
Issue
2
Pages
176-178
ISSN
  • 0023-852X (ISSN-L)
  • 1531-4995
OpenAlex
W2020101887
Cited by
878
References
1
FWCI
1.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: University of pennsylvania smell identification test: A rapid quantitative olfactory function test for the clinic. https://app.cochat.ai/papers/10.1288/00005537-198402000-00004
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Doty, R. L., Shaman, P., Kimmelman, C. P., & Dann, M. S. (1984). University of pennsylvania smell identification test: A rapid quantitative olfactory function test for the clinic. The Laryngoscope. https://doi.org/10.1288/00005537-198402000-00004

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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.