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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
|
|---|---|
| Published in |
Journal of Computational Neuroscience, May 2000
|
| DOI | 10.1023/a:1008925309027 |
| Pubmed ID | |
| Authors |
Nicolas Brunel |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 13% |
| United Kingdom | 1 | 13% |
| Côte d'Ivoire | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 673 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 10 | 1% |
| France | 9 | 1% |
| United States | 7 | 1% |
| Germany | 7 | 1% |
| Switzerland | 5 | <1% |
| Spain | 3 | <1% |
| Norway | 2 | <1% |
| Russia | 2 | <1% |
| Brazil | 1 | <1% |
| Other | 9 | 1% |
| Unknown | 618 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 208 | 31% |
| Researcher | 119 | 18% |
| Student > Master | 107 | 16% |
| Student > Bachelor | 51 | 8% |
| Student > Doctoral Student | 28 | 4% |
| Other | 87 | 13% |
| Unknown | 73 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 172 | 26% |
| Agricultural and Biological Sciences | 129 | 19% |
| Physics and Astronomy | 77 | 11% |
| Computer Science | 66 | 10% |
| Engineering | 61 | 9% |
| Other | 75 | 11% |
| Unknown | 93 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 02 August 2023.
All research outputs
#2,482,367
of 26,017,215 outputs
Outputs from Journal of Computational Neuroscience
#13
of 333 outputs
Outputs of similar age
#2,126
of 42,202 outputs
Outputs of similar age from Journal of Computational Neuroscience
#1
of 2 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 333 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 96% 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 42,202 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them