You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Building Blocks of Self-Sustained Activity in a Simple Deterministic Model of Excitable Neural Networks
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2012
|
| DOI | 10.3389/fncom.2012.00050 |
| Pubmed ID | |
| Authors |
Guadalupe C. Garcia, Annick Lesne, Marc-Thorsten Hütt, Claus C. Hilgetag |
| Abstract |
Understanding the interplay of topology and dynamics of excitable neural networks is one of the major challenges in computational neuroscience. Here we employ a simple deterministic excitable model to explore how network-wide activation patterns are shaped by network architecture. Our observables are co-activation patterns, together with the average activity of the network and the periodicities in the excitation density. Our main results are: (1) the dependence of the correlation between the adjacency matrix and the instantaneous (zero time delay) co-activation matrix on global network features (clustering, modularity, scale-free degree distribution), (2) a correlation between the average activity and the amount of small cycles in the graph, and (3) a microscopic understanding of the contributions by 3-node and 4-node cycles to sustained activity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Germany | 1 | 2% |
| Sweden | 1 | 2% |
| France | 1 | 2% |
| Singapore | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 57 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 36% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Doctoral Student | 6 | 9% |
| Student > Master | 6 | 9% |
| Professor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 28% |
| Physics and Astronomy | 7 | 11% |
| Engineering | 7 | 11% |
| Neuroscience | 5 | 8% |
| Medicine and Dentistry | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 10 | 16% |
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 06 March 2020.
All research outputs
#14,732,278
of 22,675,759 outputs
Outputs from Frontiers in Computational Neuroscience
#762
of 1,336 outputs
Outputs of similar age
#159,230
of 244,088 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#36
of 69 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 36th percentile – i.e., 36% 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 244,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.