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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Categorical Dimensions of Human Odor Descriptor Space Revealed by Non-Negative Matrix Factorization
|
|---|---|
| Published in |
PLOS ONE, September 2013
|
| DOI | 10.1371/journal.pone.0073289 |
| Pubmed ID | |
| Authors |
Jason B. Castro, Arvind Ramanathan, Chakra S. Chennubhotla |
| Abstract |
In contrast to most other sensory modalities, the basic perceptual dimensions of olfaction remain unclear. Here, we use non-negative matrix factorization (NMF)--a dimensionality reduction technique--to uncover structure in a panel of odor profiles, with each odor defined as a point in multi-dimensional descriptor space. The properties of NMF are favorable for the analysis of such lexical and perceptual data, and lead to a high-dimensional account of odor space. We further provide evidence that odor dimensions apply categorically. That is, odor space is not occupied homogenously, but rather in a discrete and intrinsically clustered manner. We discuss the potential implications of these results for the neural coding of odors, as well as for developing classifiers on larger datasets that may be useful for predicting perceptual qualities from chemical structures. |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 14% |
| United Kingdom | 5 | 14% |
| Italy | 2 | 6% |
| Chile | 1 | 3% |
| Canada | 1 | 3% |
| Netherlands | 1 | 3% |
| Mexico | 1 | 3% |
| Uruguay | 1 | 3% |
| Australia | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 78% |
| Scientists | 6 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 2% |
| Netherlands | 2 | <1% |
| United States | 2 | <1% |
| Brazil | 1 | <1% |
| Denmark | 1 | <1% |
| France | 1 | <1% |
| Japan | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Greece | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 194 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 22% |
| Student > Ph. D. Student | 34 | 16% |
| Student > Master | 28 | 13% |
| Student > Doctoral Student | 12 | 6% |
| Professor > Associate Professor | 11 | 5% |
| Other | 41 | 20% |
| Unknown | 36 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 19% |
| Computer Science | 22 | 11% |
| Psychology | 15 | 7% |
| Medicine and Dentistry | 13 | 6% |
| Engineering | 13 | 6% |
| Other | 61 | 29% |
| Unknown | 46 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 267. 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 05 September 2023.
All research outputs
#131,210
of 24,938,276 outputs
Outputs from PLOS ONE
#2,027
of 216,070 outputs
Outputs of similar age
#890
of 208,295 outputs
Outputs of similar age from PLOS ONE
#46
of 4,915 outputs
Altmetric has tracked 24,938,276 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 216,070 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 99% 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 208,295 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 4,915 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 99% of its contemporaries.