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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Low Dimensional Description of Globally Coupled Heterogeneous Neural Networks of Excitatory and Inhibitory Neurons
|
|---|---|
| Published in |
PLoS Computational Biology, November 2008
|
| DOI | 10.1371/journal.pcbi.1000219 |
| Pubmed ID | |
| Authors |
Roxana A. Stefanescu, Viktor K. Jirsa |
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 States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Germany | 2 | 1% |
| United States | 2 | 1% |
| Cuba | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Argentina | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 168 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 26% |
| Researcher | 36 | 20% |
| Student > Master | 16 | 9% |
| Professor > Associate Professor | 15 | 8% |
| Professor | 15 | 8% |
| Other | 33 | 18% |
| Unknown | 20 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 40 | 22% |
| Agricultural and Biological Sciences | 33 | 18% |
| Engineering | 16 | 9% |
| Physics and Astronomy | 15 | 8% |
| Computer Science | 13 | 7% |
| Other | 38 | 21% |
| Unknown | 27 | 15% |
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 22 November 2019.
All research outputs
#15,755,393
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#6,756
of 8,964 outputs
Outputs of similar age
#83,532
of 99,796 outputs
Outputs of similar age from PLoS Computational Biology
#35
of 44 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 22nd percentile – i.e., 22% 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 99,796 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.