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Real-time search-free multiple license plate recognition via likelihood estimation of saliency

Overview of attention for article published in Computers & Electrical Engineering, November 2016
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Mentioned by

patent
5 patents

Readers on

mendeley
37 Mendeley
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Article details
Title
Real-time search-free multiple license plate recognition via likelihood estimation of saliency
Published in
Computers & Electrical Engineering, November 2016
DOI 10.1016/j.compeleceng.2016.09.010
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 27%
Student > Bachelor 5 14%
Student > Ph. D. Student 4 11%
Researcher 2 5%
Lecturer > Senior Lecturer 1 3%
Other 1 3%
Unknown 14 38%
Readers by discipline
Readers by discipline Count As %
Computer Science 12 32%
Engineering 9 24%
Physics and Astronomy 1 3%
Unknown 15 41%
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 14 July 2026.
All research outputs
#9,515,460
of 27,778,980 outputs
Outputs from Computers & Electrical Engineering
#96
of 515 outputs
Outputs of similar age
#119,492
of 313,576 outputs
Outputs of similar age from Computers & Electrical Engineering
#1
of 5 outputs
Altmetric has tracked 27,778,980 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 515 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 50% 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 313,576 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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