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Attention Score in Context
Title |
Unveiling the metric structure of internal representations of space
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Published in |
Frontiers in Neural Circuits, January 2013
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DOI | 10.3389/fncir.2013.00081 |
Pubmed ID | |
Authors |
Federico Stella, Erika Cerasti, Alessandro Treves |
Abstract |
How are neuronal representations of space organized in the hippocampus? The self-organization of such representations, thought to be driven in the CA3 network by the strong randomizing input from the Dentate Gyrus, appears to run against preserving the topology and even less the exact metric of physical space. We present a way to assess this issue quantitatively, and find that in a simple neural network model of CA3, the average topology is largely preserved, but the local metric is loose, retaining e.g., 10% of the optimal spatial resolution. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Italy | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 4% |
Germany | 2 | 4% |
Greece | 1 | 2% |
Unknown | 44 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 43% |
Researcher | 12 | 24% |
Student > Master | 5 | 10% |
Professor | 3 | 6% |
Other | 2 | 4% |
Other | 5 | 10% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 18 | 37% |
Neuroscience | 8 | 16% |
Physics and Astronomy | 7 | 14% |
Psychology | 5 | 10% |
Linguistics | 2 | 4% |
Other | 7 | 14% |
Unknown | 2 | 4% |
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 08 May 2013.
All research outputs
#12,682,803
of 22,708,120 outputs
Outputs from Frontiers in Neural Circuits
#495
of 1,209 outputs
Outputs of similar age
#150,705
of 280,717 outputs
Outputs of similar age from Frontiers in Neural Circuits
#51
of 173 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,209 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 280,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 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 68% of its contemporaries.