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Event classification for vehicle navigation system by regional optical flow analysis

Overview of attention for article published in Machine Vision and Applications, December 2011
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
Title
Event classification for vehicle navigation system by regional optical flow analysis
Published in
Machine Vision and Applications, December 2011
DOI 10.1007/s00138-011-0384-2
Authors

Min-Kook Choi, Joonseok Park, Sang-Chul Lee

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 %
Algeria 1 7%
Brazil 1 7%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 3 20%
Student > Doctoral Student 2 13%
Professor 1 7%
Lecturer 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 10 67%
Engineering 2 13%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 July 2018.
All research outputs
#4,965,094
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#71
of 551 outputs
Outputs of similar age
#41,766
of 247,458 outputs
Outputs of similar age from Machine Vision and Applications
#1
of 7 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 73% 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 247,458 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 80% 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 all of them