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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Linear stability in networks of pulse-coupled neurons
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2014
|
| DOI | 10.3389/fncom.2014.00008 |
| Pubmed ID | |
| Authors |
Simona Olmi, Alessandro Torcini, Antonio Politi |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 42% |
| Professor > Associate Professor | 3 | 12% |
| Professor | 3 | 12% |
| Other | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 4 | 15% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 9 | 35% |
| Neuroscience | 6 | 23% |
| Engineering | 3 | 12% |
| Agricultural and Biological Sciences | 2 | 8% |
| Computer Science | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 December 2015.
All research outputs
#6,479,954
of 23,891,012 outputs
Outputs from Frontiers in Computational Neuroscience
#308
of 1,385 outputs
Outputs of similar age
#74,155
of 311,165 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#3
of 15 outputs
Altmetric has tracked 23,891,012 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,385 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 done well, scoring higher than 77% 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 311,165 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.