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Automatic calibration of fish-eye cameras from automotive video sequences

Overview of attention for article published in IET Intelligent Transport Systems, January 2010
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About this Attention Score

  • Among the highest-scoring outputs from this source (#21 of 113)
  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Automatic calibration of fish-eye cameras from automotive video sequences
Published in
IET Intelligent Transport Systems, January 2010
DOI 10.1049/iet-its.2009.0052
Authors

M. Friel, C. Hughes, P. Denny, E. Jones, M. Glavin

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Russia 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 35%
Student > Master 6 19%
Student > Ph. D. Student 5 16%
Student > Bachelor 3 10%
Lecturer > Senior Lecturer 1 3%
Other 3 10%
Unknown 2 6%
Readers by discipline Count As %
Engineering 12 39%
Computer Science 11 35%
Earth and Planetary Sciences 2 6%
Agricultural and Biological Sciences 1 3%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 4 13%

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 26 June 2018.
All research outputs
#3,882,843
of 13,133,585 outputs
Outputs from IET Intelligent Transport Systems
#21
of 113 outputs
Outputs of similar age
#101,860
of 270,018 outputs
Outputs of similar age from IET Intelligent Transport Systems
#1
of 3 outputs
Altmetric has tracked 13,133,585 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 113 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 49th percentile – i.e., 49% 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 270,018 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
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