| Title |
Style classification and visualization of art painting’s genre using self-organizing maps
|
|---|---|
| Published in |
Human-centric Computing and Information Sciences, June 2016
|
| DOI | 10.1186/s13673-016-0063-4 |
| Authors |
Sang-Geol Lee, Eui-Young Cha |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Lecturer | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 8 | 21% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 34% |
| Arts and Humanities | 4 | 11% |
| Business, Management and Accounting | 3 | 8% |
| Unspecified | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 July 2017.
All research outputs
#15,469,838
of 22,988,380 outputs
Outputs from Human-centric Computing and Information Sciences
#53
of 79 outputs
Outputs of similar age
#213,257
of 340,768 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#3
of 3 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 79 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 340,768 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.