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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational models of neuron-astrocyte interaction in epilepsy
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2012
|
| DOI | 10.3389/fncom.2012.00058 |
| Pubmed ID | |
| Authors |
Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski |
| Abstract |
Astrocytes actively shape the dynamics of neurons and neuronal ensembles by affecting several aspects critical to neuronal function, such as regulating synaptic plasticity, modulating neuronal excitability, and maintaining extracellular ion balance. These pathways for astrocyte-neuron interaction can also enhance the information-processing capabilities of brains, but in other circumstances may lead the brain on the road to pathological ruin. In this article, we review the existing computational models of astrocytic involvement in epileptogenesis, focusing on their relevance to existing physiological data. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Germany | 3 | 2% |
| United Kingdom | 2 | 1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Turkey | 1 | <1% |
| Spain | 1 | <1% |
| Colombia | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 150 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 34% |
| Researcher | 30 | 18% |
| Student > Master | 19 | 11% |
| Student > Bachelor | 13 | 8% |
| Professor | 8 | 5% |
| Other | 28 | 17% |
| Unknown | 12 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 36 | 22% |
| Agricultural and Biological Sciences | 25 | 15% |
| Engineering | 23 | 14% |
| Computer Science | 18 | 11% |
| Physics and Astronomy | 12 | 7% |
| Other | 31 | 19% |
| Unknown | 21 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 October 2012.
All research outputs
#7,084,217
of 22,675,759 outputs
Outputs from Frontiers in Computational Neuroscience
#383
of 1,336 outputs
Outputs of similar age
#67,377
of 244,088 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#17
of 69 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
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 has gotten more attention than average, scoring higher than 70% 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 244,088 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 72% of its contemporaries.
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 has done well, scoring higher than 75% of its contemporaries.