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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Emergence of Relaxation Oscillations in Neurons Interacting With Non-stationary Ambient GABA
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, April 2018
|
| DOI | 10.3389/fncom.2018.00019 |
| Pubmed ID | |
| Authors |
Denis A. Adamchik, Valery V. Matrosov, Victor B. Kazantsev |
| Abstract |
Dynamics of a homogeneous neural population interacting with active extracellular medium were considered. The corresponding mathematical model was tuned specifically to describe the behavior of interneurons with tonic GABA conductance under the action of non-stationary ambient GABA. The feedback provided by the GABA mediated transmembrane current enriched the repertoire of population activity by enabling the oscillatory behavior. This behavior appeared in the form of relaxation oscillations which can be considered as a specific type of brainwaves. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 63% |
| Student > Bachelor | 1 | 13% |
| Researcher | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 2 | 25% |
| Arts and Humanities | 1 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Chemical Engineering | 1 | 13% |
| Computer Science | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 April 2018.
All research outputs
#15,494,712
of 23,026,672 outputs
Outputs from Frontiers in Computational Neuroscience
#875
of 1,355 outputs
Outputs of similar age
#210,195
of 329,651 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#19
of 24 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,355 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 28th percentile – i.e., 28% 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 329,651 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.