| Title |
Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone
|
|---|---|
| Published in |
IPSJ Transactions on Computer Vision and Applications, June 2019
|
| DOI | 10.1186/s41074-019-0056-0 |
| Authors |
Yinan Wang, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Tohru Harano, Masahiko Ito, Katsura Komagome, Makoto Iida, Takeshi Naemura |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Researcher | 10 | 18% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 17 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 27% |
| Engineering | 12 | 21% |
| Energy | 3 | 5% |
| Economics, Econometrics and Finance | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 20 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 July 2023.
All research outputs
#7,989,503
of 24,041,016 outputs
Outputs from IPSJ Transactions on Computer Vision and Applications
#14
of 34 outputs
Outputs of similar age
#139,653
of 355,681 outputs
Outputs of similar age from IPSJ Transactions on Computer Vision and Applications
#1
of 1 outputs
Altmetric has tracked 24,041,016 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 34 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one scored the same or higher as 20 of them.
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 355,681 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 54% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them