You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient coding of spectrotemporal binaural sounds leads to emergence of the auditory space representation
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, March 2014
|
| DOI | 10.3389/fncom.2014.00026 |
| Pubmed ID | |
| Authors |
Wiktor Młynarski |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| France | 1 | 3% |
| Italy | 1 | 3% |
| Finland | 1 | 3% |
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 34 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 25% |
| Student > Ph. D. Student | 9 | 23% |
| Student > Postgraduate | 6 | 15% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 30% |
| Agricultural and Biological Sciences | 9 | 23% |
| Engineering | 5 | 13% |
| Computer Science | 2 | 5% |
| Physics and Astronomy | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 4 | 10% |
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 22 November 2013.
All research outputs
#13,162,991
of 22,729,647 outputs
Outputs from Frontiers in Computational Neuroscience
#524
of 1,336 outputs
Outputs of similar age
#107,381
of 221,103 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#9
of 16 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 58% 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 221,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.