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GPU deformable part model for object recognition

Overview of attention for article published in Journal of Real-Time Image Processing, September 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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11 Dimensions

Readers on

mendeley
11 Mendeley
Title
GPU deformable part model for object recognition
Published in
Journal of Real-Time Image Processing, September 2014
DOI 10.1007/s11554-014-0447-5
Authors

Etienne Gadeski, Hamidreza Odabai Fard, Hervé Le Borgne

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Master 2 18%
Other 1 9%
Researcher 1 9%
Unknown 3 27%
Readers by discipline Count As %
Computer Science 3 27%
Engineering 3 27%
Psychology 1 9%
Mathematics 1 9%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 April 2017.
All research outputs
#15,454,502
of 22,965,074 outputs
Outputs from Journal of Real-Time Image Processing
#100
of 129 outputs
Outputs of similar age
#138,213
of 238,501 outputs
Outputs of similar age from Journal of Real-Time Image Processing
#3
of 3 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 129 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 13th percentile – i.e., 13% 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 238,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% 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.