| Title |
Intelligent generation of Peking opera facial masks with deep learning frameworks
|
|---|---|
| Published in |
Heritage Science, January 2023
|
| DOI | 10.1186/s40494-023-00865-z |
| Authors |
Ming Yan, Rui Xiong, Yinghua Shen, Cong Jin, Yan Wang |
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 % |
|---|---|---|
| United States | 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 15% |
| Student > Ph. D. Student | 1 | 8% |
| Unspecified | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Unknown | 8 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 15% |
| Unspecified | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Social Sciences | 1 | 8% |
| Unknown | 8 | 62% |
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 30 January 2023.
All research outputs
#21,392,871
of 23,885,338 outputs
Outputs from Heritage Science
#409
of 446 outputs
Outputs of similar age
#355,545
of 428,672 outputs
Outputs of similar age from Heritage Science
#10
of 10 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 446 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one is in the 1st percentile – i.e., 1% 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 428,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.