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
| Chapter title |
STAR: Sparse Trained Articulated Human Body Regressor
|
|---|---|
| Chapter number | 36 |
| Book title |
Computer Vision – ECCV 2020
|
| Published in |
arXiv, November 2020
|
| DOI | 10.1007/978-3-030-58539-6_36 |
| Book ISBNs |
978-3-03-058538-9, 978-3-03-058539-6
|
| Authors |
Ahmed A. A. Osman, Timo Bolkart, Michael J. Black, Osman, Ahmed A. A., Bolkart, Timo, Black, Michael J. |
X Demographics
The data shown below were collected from the profiles of 5 X users 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 | 20% |
| Japan | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 277 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 277 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 21% |
| Student > Master | 35 | 13% |
| Researcher | 24 | 9% |
| Student > Bachelor | 20 | 7% |
| Student > Doctoral Student | 5 | 2% |
| Other | 11 | 4% |
| Unknown | 125 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 110 | 40% |
| Engineering | 22 | 8% |
| Unspecified | 2 | <1% |
| Economics, Econometrics and Finance | 2 | <1% |
| Arts and Humanities | 2 | <1% |
| Other | 7 | 3% |
| Unknown | 132 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 March 2024.
All research outputs
#5,512,783
of 25,613,746 outputs
Outputs from arXiv
#97,176
of 931,753 outputs
Outputs of similar age
#126,624
of 441,197 outputs
Outputs of similar age from arXiv
#3,067
of 27,166 outputs
Altmetric has tracked 25,613,746 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 931,753 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 89% 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 441,197 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 71% of its contemporaries.
We're also able to compare this research output to 27,166 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.