| Title |
Scale coding bag of deep features for human attribute and action recognition
|
|---|---|
| Published in |
Machine Vision and Applications, September 2017
|
| DOI | 10.1007/s00138-017-0871-1 |
| Authors |
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Researcher | 5 | 15% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 33% |
| Engineering | 9 | 27% |
| Chemistry | 2 | 6% |
| Unknown | 11 | 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 21 December 2016.
All research outputs
#17,008,464
of 24,998,746 outputs
Outputs from Machine Vision and Applications
#394
of 586 outputs
Outputs of similar age
#206,143
of 321,326 outputs
Outputs of similar age from Machine Vision and Applications
#4
of 4 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 586 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 22nd percentile – i.e., 22% 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 321,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.