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Time to smell: a cascade model of human olfactory perception based on response-time (RT) measurement

Overview of attention for article published in Frontiers in Psychology, January 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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9 X users
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2 Facebook pages

Citations

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38 Dimensions

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89 Mendeley
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Title
Time to smell: a cascade model of human olfactory perception based on response-time (RT) measurement
Published in
Frontiers in Psychology, January 2014
DOI 10.3389/fpsyg.2014.00033
Pubmed ID
Authors

Jonas K. Olofsson

Abstract

The timing of olfactory behavioral decisions may provide an important source of information about how the human olfactory-perceptual system is organized. This review integrates results from olfactory response-time (RT) measurements from a perspective of mental chronometry. Based on these findings, a new cascade model of human olfaction is presented. Results show that main perceptual decisions are executed with high accuracy within about 1~s of sniff onset. The cascade model proposes the existence of distinct processing stages within this brief time-window. According to the cascade model, different perceptual features become accessible to the perceiver at different time-points, and the output of earlier processing stages provides the input for later processing stages. The olfactory cascade starts with detecting the odor, which is followed by establishing an odor object. The odor object, in turn, triggers systems for determining odor valence and edibility. Evidence for the cascade model comes from studies showing that RTs for odor valence and edibility assessment are predicted by the shorter RTs needed to establish the odor object. Challenges for future research include innovative task designs for olfactory RT experiments and the integration of the behavioral processing sequence into the underlying cortical processes using complementary RT measures and neuroimaging methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Italy 1 1%
Unknown 86 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Researcher 15 17%
Student > Bachelor 12 13%
Student > Master 11 12%
Student > Doctoral Student 6 7%
Other 17 19%
Unknown 9 10%
Readers by discipline Count As %
Psychology 25 28%
Agricultural and Biological Sciences 10 11%
Neuroscience 10 11%
Medicine and Dentistry 7 8%
Engineering 4 4%
Other 18 20%
Unknown 15 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2021.
All research outputs
#5,634,368
of 22,743,667 outputs
Outputs from Frontiers in Psychology
#8,096
of 29,601 outputs
Outputs of similar age
#65,207
of 305,211 outputs
Outputs of similar age from Frontiers in Psychology
#84
of 182 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,211 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.