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Mendeley readers
Attention Score in Context
| Title |
Coverage, continuity, and visual cortical architecture
|
|---|---|
| Published in |
Neural Systems & Circuits, December 2011
|
| DOI | 10.1186/2042-1001-1-17 |
| Pubmed ID | |
| Authors |
Wolfgang Keil, Fred Wolf |
| Abstract |
The primary visual cortex of many mammals contains a continuous representation of visual space, with a roughly repetitive aperiodic map of orientation preferences superimposed. It was recently found that orientation preference maps (OPMs) obey statistical laws which are apparently invariant among species widely separated in eutherian evolution. Here, we examine whether one of the most prominent models for the optimization of cortical maps, the elastic net (EN) model, can reproduce this common design. The EN model generates representations which optimally trade of stimulus space coverage and map continuity. While this model has been used in numerous studies, no analytical results about the precise layout of the predicted OPMs have been obtained so far. |
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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Chile | 1 | 2% |
| Greece | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 50 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 31% |
| Student > Master | 10 | 18% |
| Researcher | 9 | 16% |
| Student > Bachelor | 5 | 9% |
| Professor | 4 | 7% |
| Other | 8 | 15% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 22% |
| Agricultural and Biological Sciences | 10 | 18% |
| Mathematics | 7 | 13% |
| Physics and Astronomy | 7 | 13% |
| Psychology | 5 | 9% |
| Other | 10 | 18% |
| Unknown | 4 | 7% |
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 27 February 2012.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from Neural Systems & Circuits
#16
of 20 outputs
Outputs of similar age
#195,702
of 243,632 outputs
Outputs of similar age from Neural Systems & Circuits
#4
of 4 outputs
Altmetric has tracked 22,663,150 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 243,632 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 4 others from the same source and published within six weeks on either side of this one.