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Mendeley readers
Attention Score in Context
| Title |
Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, March 2016
|
| DOI | 10.3389/fncom.2016.00023 |
| Pubmed ID | |
| Authors |
Petar Tomov, Rodrigo F. O. Pena, Antonio C. Roque, Michael A. Zaks |
| Abstract |
In a network with a mixture of different electrophysiological types of neurons linked by excitatory and inhibitory connections, temporal evolution leads through repeated epochs of intensive global activity separated by intervals with low activity level. This behavior mimics "up" and "down" states, experimentally observed in cortical tissues in absence of external stimuli. We interpret global dynamical features in terms of individual dynamics of the neurons. In particular, we observe that the crucial role both in interruption and in resumption of global activity is played by distributions of the membrane recovery variable within the network. We also demonstrate that the behavior of neurons is more influenced by their presynaptic environment in the network than by their formal types, assigned in accordance with their response to constant current. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 5% |
| Brazil | 1 | 5% |
| Unknown | 19 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 19% |
| Researcher | 3 | 14% |
| Student > Bachelor | 3 | 14% |
| Student > Postgraduate | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 5 | 24% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 33% |
| Physics and Astronomy | 4 | 19% |
| Engineering | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Business, Management and Accounting | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 3 | 14% |
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 04 June 2016.
All research outputs
#14,254,293
of 22,856,968 outputs
Outputs from Frontiers in Computational Neuroscience
#692
of 1,344 outputs
Outputs of similar age
#160,161
of 300,567 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#22
of 34 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,344 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 44th percentile – i.e., 44% 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 300,567 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.