| Title |
The cells and logic for mammalian sour taste detection
|
|---|---|
| Published in |
Nature, August 2006
|
| DOI | 10.1038/nature05084 |
| Pubmed ID | |
| Authors |
Angela L. Huang, Xiaoke Chen, Mark A. Hoon, Jayaram Chandrashekar, Wei Guo, Dimitri Tränkner, Nicholas J. P. Ryba, Charles S. Zuker |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 20% |
| United Kingdom | 1 | 20% |
| Mexico | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 556 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| Germany | 6 | 1% |
| Japan | 4 | <1% |
| United Kingdom | 4 | <1% |
| France | 2 | <1% |
| Chile | 1 | <1% |
| Switzerland | 1 | <1% |
| India | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 522 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 117 | 21% |
| Researcher | 108 | 19% |
| Student > Bachelor | 63 | 11% |
| Student > Master | 58 | 10% |
| Professor > Associate Professor | 35 | 6% |
| Other | 105 | 19% |
| Unknown | 70 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 238 | 43% |
| Biochemistry, Genetics and Molecular Biology | 51 | 9% |
| Medicine and Dentistry | 51 | 9% |
| Neuroscience | 51 | 9% |
| Engineering | 20 | 4% |
| Other | 65 | 12% |
| Unknown | 80 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. 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 21 July 2022.
All research outputs
#567,922
of 23,152,542 outputs
Outputs from Nature
#23,764
of 91,688 outputs
Outputs of similar age
#728
of 65,940 outputs
Outputs of similar age from Nature
#21
of 410 outputs
Altmetric has tracked 23,152,542 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 91,688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 99.8. This one has gotten more attention than average, scoring higher than 74% 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 65,940 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 98% of its contemporaries.
We're also able to compare this research output to 410 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 95% of its contemporaries.