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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimal Self-Induced Stochastic Resonance in Multiplex Neural Networks: Electrical vs. Chemical Synapses
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, August 2020
|
| DOI | 10.3389/fncom.2020.00062 |
| Pubmed ID | |
| Authors |
Marius E. Yamakou, Poul G. Hjorth, Erik A. Martens |
X Demographics
The data shown below were collected from the profiles of 3 X users 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 29% |
| Student > Master | 3 | 18% |
| Professor > Associate Professor | 2 | 12% |
| Professor | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 4 | 24% |
| Engineering | 3 | 18% |
| Mathematics | 2 | 12% |
| Agricultural and Biological Sciences | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
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 11 August 2020.
All research outputs
#15,353,628
of 25,657,205 outputs
Outputs from Frontiers in Computational Neuroscience
#621
of 1,472 outputs
Outputs of similar age
#224,552
of 427,554 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#17
of 31 outputs
Altmetric has tracked 25,657,205 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 54% 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 427,554 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.