| Title |
Facial Landmark Detection: A Literature Survey
|
|---|---|
| Published in |
International Journal of Computer Vision, May 2018
|
| DOI | 10.1007/s11263-018-1097-z |
| Authors |
Yue Wu, Qiang Ji |
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 % |
|---|---|---|
| Indonesia | 1 | 17% |
| India | 1 | 17% |
| Unknown | 4 | 67% |
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 490 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 490 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 91 | 19% |
| Student > Ph. D. Student | 83 | 17% |
| Researcher | 46 | 9% |
| Student > Bachelor | 38 | 8% |
| Student > Doctoral Student | 16 | 3% |
| Other | 49 | 10% |
| Unknown | 167 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 214 | 44% |
| Engineering | 53 | 11% |
| Medicine and Dentistry | 5 | 1% |
| Unspecified | 5 | 1% |
| Agricultural and Biological Sciences | 4 | <1% |
| Other | 27 | 6% |
| Unknown | 182 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 17 August 2023.
All research outputs
#1,605,785
of 24,384,776 outputs
Outputs from International Journal of Computer Vision
#23
of 1,295 outputs
Outputs of similar age
#34,875
of 331,857 outputs
Outputs of similar age from International Journal of Computer Vision
#2
of 14 outputs
Altmetric has tracked 24,384,776 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 98% 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 331,857 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.