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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Emergence of Mixed Mode Oscillations in Random Networks of Diverse Excitable Neurons: The Role of Neighbors and Electrical Coupling
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, June 2020
|
| DOI | 10.3389/fncom.2020.00049 |
| Pubmed ID | |
| Authors |
Subrata Ghosh, Argha Mondal, Peng Ji, Arindam Mishra, Syamal K. Dana, Chris G. Antonopoulos, Chittaranjan Hens |
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% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 31% |
| Researcher | 4 | 25% |
| Other | 2 | 13% |
| Professor | 1 | 6% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 31% |
| Neuroscience | 3 | 19% |
| Mathematics | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 6% |
| Unknown | 5 | 31% |
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 12 October 2020.
All research outputs
#15,708,439
of 23,342,092 outputs
Outputs from Frontiers in Computational Neuroscience
#885
of 1,373 outputs
Outputs of similar age
#250,292
of 399,500 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#25
of 28 outputs
Altmetric has tracked 23,342,092 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 1,373 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 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 399,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.