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Energy Normalization for Pose-Invariant Face Recognition Based on MRF Model Image Matching

Overview of attention for article published in IEEE Transactions on Software Engineering, November 2010
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Mentioned by

patent
1 patent

Readers on

mendeley
58 Mendeley
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Article details
Title
Energy Normalization for Pose-Invariant Face Recognition Based on MRF Model Image Matching
Published in
IEEE Transactions on Software Engineering, November 2010
DOI 10.1109/tpami.2010.209
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Japan 1 2%
Ireland 1 2%
Hong Kong 1 2%
United Kingdom 1 2%
Germany 1 2%
Unknown 53 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Researcher 10 17%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 11 19%
Unknown 9 16%
Readers by discipline
Readers by discipline Count As %
Computer Science 29 50%
Engineering 13 22%
Arts and Humanities 1 2%
Energy 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 12 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 July 2018.
All research outputs
#12,345,312
of 34,364,397 outputs
Outputs from IEEE Transactions on Software Engineering
#3,684
of 7,909 outputs
Outputs of similar age
#85,600
of 254,232 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#27
of 45 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,909 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% 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 254,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.