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Computer vision based eyewear selector

Overview of attention for article published in Frontiers of Information Technology & Electronic Engineering, January 2010
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 118)

Mentioned by

patent
4 patents

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
22 Mendeley
Title
Computer vision based eyewear selector
Published in
Frontiers of Information Technology & Electronic Engineering, January 2010
DOI 10.1631/jzus.c0910377
Authors

Oscar Déniz, Modesto Castrillón, Javier Lorenzo, Luis Antón, Mario Hernandez, Gloria Bueno

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Professor 3 14%
Student > Doctoral Student 2 9%
Student > Postgraduate 2 9%
Professor > Associate Professor 2 9%
Other 4 18%
Unknown 5 23%
Readers by discipline Count As %
Computer Science 7 32%
Engineering 4 18%
Unspecified 1 5%
Business, Management and Accounting 1 5%
Arts and Humanities 1 5%
Other 0 0%
Unknown 8 36%
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 13 December 2022.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Frontiers of Information Technology & Electronic Engineering
#34
of 118 outputs
Outputs of similar age
#51,444
of 172,872 outputs
Outputs of similar age from Frontiers of Information Technology & Electronic Engineering
#1
of 3 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 20th percentile – i.e., 20% 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 172,872 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them