| Title |
Bag of soft biometrics for person identification
|
|---|---|
| Published in |
Multimedia Tools and Applications, October 2010
|
| DOI | 10.1007/s11042-010-0635-7 |
| Authors |
Antitza Dantcheva, Carmelo Velardo, Angela D’Angelo, Jean-Luc Dugelay |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| India | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 92 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 29% |
| Student > Master | 11 | 12% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 9 | 9% |
| Researcher | 9 | 9% |
| Other | 12 | 13% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 46 | 48% |
| Engineering | 14 | 15% |
| Psychology | 3 | 3% |
| Agricultural and Biological Sciences | 2 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 22 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 20 July 2021.
All research outputs
#1,823,860
of 23,906,448 outputs
Outputs from Multimedia Tools and Applications
#20
of 4,321 outputs
Outputs of similar age
#6,608
of 102,062 outputs
Outputs of similar age from Multimedia Tools and Applications
#1
of 31 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,321 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done particularly well, scoring higher than 99% 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 102,062 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.