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Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference

Overview of attention for article published in 16th International Conference on Pattern Recognition (ICPR'02), August 2010
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Title
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference
Published in
16th International Conference on Pattern Recognition (ICPR'02), August 2010
DOI 10.1109/icpr.2010.299
Authors

Yongkang Wong, C Sanderson, S Mau, B C Lovell

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Student > Master 4 27%
Researcher 2 13%
Professor 1 7%
Student > Bachelor 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 13 87%
Engineering 1 7%
Unknown 1 7%
Attention Score in Context

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 09 April 2013.
All research outputs
#22,963,239
of 25,604,262 outputs
Outputs from 16th International Conference on Pattern Recognition (ICPR'02)
#218
of 228 outputs
Outputs of similar age
#99,459
of 104,402 outputs
Outputs of similar age from 16th International Conference on Pattern Recognition (ICPR'02)
#38
of 45 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 104,402 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.