| Title |
Parameter-sweeping techniques for temporal dynamics of neuronal systems: case study of Hindmarsh-Rose model
|
|---|---|
| Published in |
The Journal of Mathematical Neuroscience, July 2011
|
| DOI | 10.1186/2190-8567-1-6 |
| Pubmed ID | |
| Authors |
Roberto Barrio, Andrey Shilnikov |
| Abstract |
Development of effective and plausible numerical tools is an imperative task for thorough studies of nonlinear dynamics in life science applications. |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Chile | 1 | 2% |
| Spain | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 53 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Researcher | 10 | 17% |
| Professor > Associate Professor | 9 | 16% |
| Student > Master | 6 | 10% |
| Professor | 5 | 9% |
| Other | 9 | 16% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 15 | 26% |
| Physics and Astronomy | 9 | 16% |
| Agricultural and Biological Sciences | 6 | 10% |
| Medicine and Dentistry | 4 | 7% |
| Engineering | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 25 January 2012.
All research outputs
#6,754,036
of 25,374,647 outputs
Outputs from The Journal of Mathematical Neuroscience
#10
of 79 outputs
Outputs of similar age
#36,823
of 128,027 outputs
Outputs of similar age from The Journal of Mathematical Neuroscience
#3
of 4 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 79 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 86% 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 128,027 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.