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Label Embedding: A Frugal Baseline for Text Recognition

Overview of attention for article published in International Journal of Computer Vision, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
39 Mendeley
Title
Label Embedding: A Frugal Baseline for Text Recognition
Published in
International Journal of Computer Vision, December 2014
DOI 10.1007/s11263-014-0793-6
Authors

Jose A. Rodriguez-Serrano, Albert Gordo, Florent Perronnin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 33%
Researcher 5 13%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Student > Postgraduate 2 5%
Other 4 10%
Unknown 8 21%
Readers by discipline Count As %
Computer Science 21 54%
Engineering 5 13%
Materials Science 1 3%
Social Sciences 1 3%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 April 2020.
All research outputs
#3,316,586
of 23,036,991 outputs
Outputs from International Journal of Computer Vision
#112
of 1,163 outputs
Outputs of similar age
#48,954
of 354,187 outputs
Outputs of similar age from International Journal of Computer Vision
#2
of 7 outputs
Altmetric has tracked 23,036,991 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 85% 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 354,187 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.