| Title |
Transfer learning features for predicting aesthetics through a novel hybrid machine learning method
|
|---|---|
| Published in |
Neural Computing and Applications, February 2019
|
| DOI | 10.1007/s00521-019-04065-4 |
| Authors |
Adrian Carballal, Carlos Fernandez-Lozano, Jonathan Heras, Juan Romero |
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 % |
|---|---|---|
| Spain | 3 | 50% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Lecturer | 6 | 18% |
| Student > Master | 3 | 9% |
| Researcher | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 11 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 26% |
| Arts and Humanities | 3 | 9% |
| Psychology | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 13 | 38% |
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 30 April 2020.
All research outputs
#6,548,105
of 23,839,820 outputs
Outputs from Neural Computing and Applications
#122
of 2,407 outputs
Outputs of similar age
#134,434
of 442,131 outputs
Outputs of similar age from Neural Computing and Applications
#7
of 23 outputs
Altmetric has tracked 23,839,820 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 2,407 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done particularly well, scoring higher than 94% 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 442,131 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 69% of its contemporaries.
We're also able to compare this research output to 23 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 69% of its contemporaries.