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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Theoretical Principles of Multiscale Spatiotemporal Control of Neuronal Networks: A Complex Systems Perspective
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2018
|
| DOI | 10.3389/fncom.2018.00081 |
| Pubmed ID | |
| Authors |
Nima Dehghani |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| Switzerland | 1 | 10% |
| United Kingdom | 1 | 10% |
| Japan | 1 | 10% |
| Germany | 1 | 10% |
| Canada | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Unknown | 32 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 30% |
| Researcher | 8 | 24% |
| Student > Bachelor | 6 | 18% |
| Professor > Associate Professor | 4 | 12% |
| Student > Master | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 14 | 42% |
| Agricultural and Biological Sciences | 6 | 18% |
| Engineering | 5 | 15% |
| Computer Science | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 3 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 27 August 2022.
All research outputs
#7,290,704
of 25,622,179 outputs
Outputs from Frontiers in Computational Neuroscience
#349
of 1,472 outputs
Outputs of similar age
#121,713
of 358,714 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#8
of 24 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,472 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 done well, scoring higher than 75% 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 358,714 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 24 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 66% of its contemporaries.