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Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance

Overview of attention for article published in International Journal of Computer Vision, March 2018
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Mentioned by

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1 X user

Citations

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27 Dimensions

Readers on

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31 Mendeley
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Title
Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance
Published in
International Journal of Computer Vision, March 2018
DOI 10.1007/s11263-018-1077-3
Authors

Hironori Hattori, Namhoon Lee, Vishnu Naresh Boddeti, Fares Beainy, Kris M. Kitani, Takeo Kanade

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Master 4 13%
Professor 4 13%
Other 3 10%
Researcher 3 10%
Other 4 13%
Unknown 6 19%
Readers by discipline Count As %
Computer Science 17 55%
Engineering 6 19%
Neuroscience 1 3%
Unknown 7 23%
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 16 April 2020.
All research outputs
#18,601,965
of 23,041,514 outputs
Outputs from International Journal of Computer Vision
#1,013
of 1,164 outputs
Outputs of similar age
#258,889
of 333,155 outputs
Outputs of similar age from International Journal of Computer Vision
#17
of 18 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 10th percentile – i.e., 10% 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 333,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.