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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Learning the Face Shape Models for Facial Landmark Detection in the Wild
|
|---|---|
| Chapter number | 4 |
| Book title |
Face and Facial Expression Recognition from Real World Videos
|
| Published in |
Lecture notes in computer science, February 2016
|
| DOI | 10.1007/978-3-319-13737-7_4 |
| Book ISBNs |
978-3-31-913736-0, 978-3-31-913737-7
|
| Authors |
Yue Wu, Qiang Ji |
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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Student > Bachelor | 2 | 29% |
| Researcher | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 57% |
| Engineering | 1 | 14% |
| Unknown | 2 | 29% |
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 29 March 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Lecture notes in computer science
#6,007
of 8,127 outputs
Outputs of similar age
#287,303
of 396,980 outputs
Outputs of similar age from Lecture notes in computer science
#391
of 509 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 396,980 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 509 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.