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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Müller-Lyer illusion as seen by an artificial neural network
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, February 2015
|
| DOI | 10.3389/fncom.2015.00021 |
| Pubmed ID | |
| Authors |
Otto B. García-Garibay, Victor de Lafuente |
X Demographics
The data shown below were collected from the profiles of 22 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 Kingdom | 3 | 14% |
| United States | 2 | 9% |
| Australia | 2 | 9% |
| Spain | 2 | 9% |
| Ireland | 1 | 5% |
| Canada | 1 | 5% |
| Netherlands | 1 | 5% |
| Japan | 1 | 5% |
| Unknown | 9 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 59% |
| Scientists | 6 | 27% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Professor > Associate Professor | 3 | 19% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 3 | 19% |
| Neuroscience | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Computer Science | 1 | 6% |
| Linguistics | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 August 2018.
All research outputs
#2,653,220
of 24,953,268 outputs
Outputs from Frontiers in Computational Neuroscience
#102
of 1,432 outputs
Outputs of similar age
#32,075
of 260,389 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 31 outputs
Altmetric has tracked 24,953,268 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,432 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 92% 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 260,389 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 87% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.