↓ Skip to main content

Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms

Overview of attention for article published in IEEE Transactions on Information Forensics and Security, October 2009
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
5 X users
patent
3 patents

Readers on

mendeley
48 Mendeley
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.
Article details
Title
Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
Published in
IEEE Transactions on Information Forensics and Security, October 2009
DOI 10.1109/tifs.2009.2034885
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Turkey 2 4%
United Kingdom 2 4%
Taiwan 1 2%
Brazil 1 2%
Unknown 42 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 9 19%
Professor > Associate Professor 4 8%
Other 3 6%
Professor 3 6%
Other 8 17%
Unknown 8 17%
Readers by discipline
Readers by discipline Count As %
Computer Science 22 46%
Engineering 8 17%
Psychology 2 4%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 6%
Unknown 11 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 November 2021.
All research outputs
#6,754,661
of 25,377,790 outputs
Outputs from IEEE Transactions on Information Forensics and Security
#251
of 1,154 outputs
Outputs of similar age
#31,543
of 107,331 outputs
Outputs of similar age from IEEE Transactions on Information Forensics and Security
#7
of 21 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 77% 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 107,331 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 70% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.