| Title |
Feature visualization in comic artist classification using deep neural networks
|
|---|---|
| Published in |
Journal of Big Data, June 2019
|
| DOI | 10.1186/s40537-019-0222-3 |
| Authors |
Kim Young-Min |
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 % |
|---|---|---|
| United States | 2 | 33% |
| Luxembourg | 1 | 17% |
| Netherlands | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
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 % |
|---|---|---|
| Student > Master | 5 | 13% |
| Student > Ph. D. Student | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Lecturer | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 14 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 34% |
| Arts and Humanities | 2 | 5% |
| Physics and Astronomy | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 15 | 39% |
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 12 February 2020.
All research outputs
#6,835,717
of 24,174,783 outputs
Outputs from Journal of Big Data
#119
of 365 outputs
Outputs of similar age
#118,543
of 354,558 outputs
Outputs of similar age from Journal of Big Data
#11
of 24 outputs
Altmetric has tracked 24,174,783 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 365 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 67% 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 354,558 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 66% of its contemporaries.
We're also able to compare this research output to 24 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 58% of its contemporaries.