You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Depth-Based Hand Pose Estimation: Methods, Data, and Challenges
|
|---|---|
| Published in |
International Journal of Computer Vision, April 2018
|
| DOI | 10.1007/s11263-018-1081-7 |
| Authors |
James Steven Supančič, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan |
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 % |
|---|---|---|
| Saint Kitts and Nevis | 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 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 169 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 28% |
| Student > Master | 18 | 11% |
| Researcher | 13 | 8% |
| Student > Doctoral Student | 9 | 5% |
| Student > Bachelor | 6 | 4% |
| Other | 17 | 10% |
| Unknown | 59 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 73 | 43% |
| Engineering | 31 | 18% |
| Linguistics | 1 | <1% |
| Nursing and Health Professions | 1 | <1% |
| Psychology | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 56 | 33% |
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 25 September 2018.
All research outputs
#15,506,823
of 23,045,021 outputs
Outputs from International Journal of Computer Vision
#873
of 1,164 outputs
Outputs of similar age
#209,850
of 329,226 outputs
Outputs of similar age from International Journal of Computer Vision
#13
of 17 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 13th percentile – i.e., 13% 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 329,226 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.