| Title |
Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data
|
|---|---|
| Published in |
International Journal of Computer Vision, August 2015
|
| DOI | 10.1007/s11263-015-0851-8 |
| Authors |
Marcus Rohrbach, Anna Rohrbach, Michaela Regneri, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, Bernt Schiele |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Norway | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 3% |
| China | 1 | <1% |
| Colombia | 1 | <1% |
| Unknown | 105 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 30% |
| Student > Master | 17 | 15% |
| Student > Doctoral Student | 11 | 10% |
| Student > Bachelor | 8 | 7% |
| Researcher | 6 | 5% |
| Other | 15 | 14% |
| Unknown | 20 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 61 | 55% |
| Engineering | 15 | 14% |
| Mathematics | 3 | 3% |
| Agricultural and Biological Sciences | 2 | 2% |
| Linguistics | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 25 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 October 2023.
All research outputs
#4,285,424
of 23,577,654 outputs
Outputs from International Journal of Computer Vision
#185
of 1,208 outputs
Outputs of similar age
#53,290
of 267,582 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 5 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,208 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 84% 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 267,582 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 79% of its contemporaries.
We're also able to compare this research output to 5 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