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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cross-frequency coupling in real and virtual brain networks
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2013
|
| DOI | 10.3389/fncom.2013.00078 |
| Pubmed ID | |
| Authors |
Viktor Jirsa, Viktor Müller |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Canada | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 373 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 1% |
| Switzerland | 3 | <1% |
| United States | 3 | <1% |
| Netherlands | 2 | <1% |
| Turkey | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Chile | 1 | <1% |
| Canada | 1 | <1% |
| Other | 7 | 2% |
| Unknown | 349 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 82 | 22% |
| Student > Ph. D. Student | 80 | 21% |
| Student > Master | 57 | 15% |
| Student > Doctoral Student | 23 | 6% |
| Professor | 20 | 5% |
| Other | 54 | 14% |
| Unknown | 57 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 83 | 22% |
| Engineering | 51 | 14% |
| Psychology | 35 | 9% |
| Agricultural and Biological Sciences | 35 | 9% |
| Medicine and Dentistry | 29 | 8% |
| Other | 56 | 15% |
| Unknown | 84 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 February 2015.
All research outputs
#15,695,810
of 25,837,817 outputs
Outputs from Frontiers in Computational Neuroscience
#605
of 1,474 outputs
Outputs of similar age
#174,959
of 292,453 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#50
of 138 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,474 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 57% 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 292,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.