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The coding of valence and identity in the mammalian taste system

Overview of attention for article published in Nature, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Citations

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204 Mendeley
Title
The coding of valence and identity in the mammalian taste system
Published in
Nature, May 2018
DOI 10.1038/s41586-018-0165-4
Pubmed ID
Authors

Li Wang, Sarah Gillis-Smith, Yueqing Peng, Juen Zhang, Xiaoke Chen, C. Daniel Salzman, Nicholas J. P. Ryba, Charles S. Zuker

Abstract

The ability of the taste system to identify a tastant (what it tastes like) enables animals to recognize and discriminate between the different basic taste qualities1,2. The valence of a tastant (whether it is appetitive or aversive) specifies its hedonic value and elicits the execution of selective behaviours. Here we examine how sweet and bitter are afforded valence versus identity in mice. We show that neurons in the sweet-responsive and bitter-responsive cortex project to topographically distinct areas of the amygdala, with strong segregation of neural projections conveying appetitive versus aversive taste signals. By manipulating selective taste inputs to the amygdala, we show that it is possible to impose positive or negative valence on a neutral water stimulus, and even to reverse the hedonic value of a sweet or bitter tastant. Remarkably, mice with silenced neurons in the amygdala no longer exhibit behaviour that reflects the valence associated with direct stimulation of the taste cortex, or with delivery of sweet and bitter chemicals. Nonetheless, these mice can still identify and discriminate between tastants, just as wild-type controls do. These results help to explain how the taste system generates stereotypic and predetermined attractive and aversive taste behaviours, and support the existence of distinct neural substrates for the discrimination of taste identity and the assignment of valence.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 204 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 23%
Researcher 36 18%
Student > Bachelor 25 12%
Unspecified 22 11%
Student > Master 20 10%
Other 54 26%
Readers by discipline Count As %
Neuroscience 82 40%
Agricultural and Biological Sciences 43 21%
Unspecified 32 16%
Biochemistry, Genetics and Molecular Biology 12 6%
Psychology 10 5%
Other 25 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 719. 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 14 August 2019.
All research outputs
#7,748
of 13,396,402 outputs
Outputs from Nature
#1,189
of 69,429 outputs
Outputs of similar age
#415
of 271,431 outputs
Outputs of similar age from Nature
#54
of 886 outputs
Altmetric has tracked 13,396,402 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 69,429 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 75.8. This one has done particularly well, scoring higher than 98% 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 271,431 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 886 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.