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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Editorial: Integrating Computational and Neural Findings in Visual Object Perception
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, April 2016
|
| DOI | 10.3389/fncom.2016.00036 |
| Pubmed ID | |
| Authors |
Judith C. Peters, Hans P. Op de Beeck, Rainer Goebel |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
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 % |
|---|---|---|
| Netherlands | 2 | 6% |
| United States | 2 | 6% |
| Unknown | 27 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 16% |
| Student > Bachelor | 5 | 16% |
| Other | 4 | 13% |
| Researcher | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Other | 6 | 19% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 16% |
| Computer Science | 4 | 13% |
| Neuroscience | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 10 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 April 2016.
All research outputs
#13,466,872
of 22,865,319 outputs
Outputs from Frontiers in Computational Neuroscience
#574
of 1,345 outputs
Outputs of similar age
#146,546
of 299,364 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#10
of 32 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,345 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 54% 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 299,364 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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 62% of its contemporaries.