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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2010
|
| DOI | 10.3389/fncom.2010.00018 |
| Pubmed ID | |
| Authors |
Brendan Glackin, Julie A. Wall, Thomas M. McGinnity, Liam P. Maguire, Liam J. McDaid |
X Demographics
The data shown below were collected from the profiles of 6 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 | 4 | 67% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 5% |
| United Kingdom | 3 | 3% |
| France | 2 | 2% |
| Australia | 1 | 1% |
| Unknown | 86 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 21% |
| Researcher | 19 | 20% |
| Student > Bachelor | 14 | 14% |
| Student > Master | 14 | 14% |
| Professor | 6 | 6% |
| Other | 13 | 13% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 22% |
| Computer Science | 17 | 18% |
| Neuroscience | 16 | 16% |
| Agricultural and Biological Sciences | 12 | 12% |
| Psychology | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 14 | 14% |
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 02 June 2019.
All research outputs
#6,866,293
of 25,373,627 outputs
Outputs from Frontiers in Computational Neuroscience
#307
of 1,463 outputs
Outputs of similar age
#41,885
of 172,626 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 14 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,463 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 79% 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 172,626 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 14 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 71% of its contemporaries.