| Title |
A biologically constrained model of the whole basal ganglia addressing the paradoxes of connections and selection
|
|---|---|
| Published in |
Journal of Computational Neuroscience, September 2013
|
| DOI | 10.1007/s10827-013-0476-2 |
| Pubmed ID | |
| Authors |
Jean Liénard, Benoît Girard |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 5% |
| France | 3 | 5% |
| United Kingdom | 1 | 2% |
| China | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 50 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 31% |
| Student > Ph. D. Student | 12 | 20% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Lecturer | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 17 | 29% |
| Agricultural and Biological Sciences | 8 | 14% |
| Computer Science | 7 | 12% |
| Engineering | 4 | 7% |
| Psychology | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 May 2020.
All research outputs
#3,924,270
of 22,834,308 outputs
Outputs from Journal of Computational Neuroscience
#20
of 307 outputs
Outputs of similar age
#36,080
of 205,252 outputs
Outputs of similar age from Journal of Computational Neuroscience
#1
of 6 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 307 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 93% 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 205,252 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 82% of its contemporaries.
We're also able to compare this research output to 6 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