| Title |
Information theory in neuroscience
|
|---|---|
| Published in |
Journal of Computational Neuroscience, January 2011
|
| DOI | 10.1007/s10827-011-0314-3 |
| Pubmed ID | |
| Authors |
Alexander G. Dimitrov, Aurel A. Lazar, Jonathan D. Victor |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 4% |
| Germany | 4 | 1% |
| Canada | 4 | 1% |
| France | 3 | <1% |
| United Kingdom | 3 | <1% |
| Sweden | 2 | <1% |
| Brazil | 2 | <1% |
| Japan | 2 | <1% |
| Switzerland | 1 | <1% |
| Other | 10 | 3% |
| Unknown | 272 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 105 | 33% |
| Researcher | 69 | 22% |
| Student > Master | 31 | 10% |
| Student > Bachelor | 22 | 7% |
| Professor > Associate Professor | 15 | 5% |
| Other | 42 | 13% |
| Unknown | 31 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 20% |
| Engineering | 51 | 16% |
| Neuroscience | 50 | 16% |
| Computer Science | 34 | 11% |
| Psychology | 24 | 8% |
| Other | 52 | 17% |
| Unknown | 40 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 21 January 2021.
All research outputs
#2,845,090
of 25,998,826 outputs
Outputs from Journal of Computational Neuroscience
#14
of 334 outputs
Outputs of similar age
#16,472
of 201,431 outputs
Outputs of similar age from Journal of Computational Neuroscience
#1
of 3 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 334 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 95% 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 201,431 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 3 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