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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, With Applications to Neural Nets
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, December 2018
|
| DOI | 10.3389/fncom.2018.00102 |
| Pubmed ID | |
| Authors |
Charles B. Delahunt, Jeffrey A. Riffell, J. Nathan Kutz |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Chile | 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 23% |
| Student > Master | 21 | 16% |
| Researcher | 16 | 12% |
| Other | 13 | 10% |
| Student > Doctoral Student | 10 | 8% |
| Other | 25 | 19% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 22% |
| Engineering | 22 | 17% |
| Neuroscience | 19 | 14% |
| Agricultural and Biological Sciences | 10 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 4% |
| Other | 23 | 17% |
| Unknown | 24 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 January 2019.
All research outputs
#15,572,695
of 25,129,395 outputs
Outputs from Frontiers in Computational Neuroscience
#673
of 1,443 outputs
Outputs of similar age
#241,689
of 447,480 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#14
of 26 outputs
Altmetric has tracked 25,129,395 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,443 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 447,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.