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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A new measure based on degree distribution that links information theory and network graph analysis
|
|---|---|
| Published in |
Neural Systems & Circuits, June 2012
|
| DOI | 10.1186/2042-1001-2-7 |
| Pubmed ID | |
| Authors |
Michael W Hadley, Matt F McGranaghan, Aaron Willey, Chun Wai Liew, Elaine R Reynolds |
| Abstract |
Detailed connection maps of human and nonhuman brains are being generated with new technologies, and graph metrics have been instrumental in understanding the general organizational features of these structures. Neural networks appear to have small world properties: they have clustered regions, while maintaining integrative features such as short average pathlengths. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 3% |
| United States | 1 | 3% |
| Russia | 1 | 3% |
| Unknown | 28 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 26% |
| Researcher | 6 | 19% |
| Professor > Associate Professor | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Other | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 29% |
| Agricultural and Biological Sciences | 6 | 19% |
| Computer Science | 5 | 16% |
| Medicine and Dentistry | 3 | 10% |
| Mathematics | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 1 | 3% |
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 04 July 2012.
All research outputs
#18,309,495
of 22,669,724 outputs
Outputs from Neural Systems & Circuits
#16
of 20 outputs
Outputs of similar age
#126,443
of 164,528 outputs
Outputs of similar age from Neural Systems & Circuits
#2
of 2 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one scored the same or higher as 4 of them.
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 164,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.