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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A unified view on weakly correlated recurrent networks
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2013
|
| DOI | 10.3389/fncom.2013.00131 |
| Pubmed ID | |
| Authors |
Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann, Moritz Helias |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Germany | 2 | 2% |
| Portugal | 1 | 1% |
| United Kingdom | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 73 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 35% |
| Researcher | 17 | 21% |
| Student > Master | 13 | 16% |
| Professor | 6 | 7% |
| Professor > Associate Professor | 4 | 5% |
| Other | 5 | 6% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 23 | 28% |
| Agricultural and Biological Sciences | 15 | 19% |
| Physics and Astronomy | 11 | 14% |
| Computer Science | 8 | 10% |
| Mathematics | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 9 | 11% |
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 01 May 2013.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from Frontiers in Computational Neuroscience
#1,116
of 1,464 outputs
Outputs of similar age
#228,889
of 289,056 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#94
of 139 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,464 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 15th percentile – i.e., 15% 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 289,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 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.