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Improving the performance of pedestrian detectors using convolutional learning

Overview of attention for article published in Pattern Recognition, January 2017
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Mentioned by

patent
1 patent

Readers on

mendeley
62 Mendeley
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Article details
Title
Improving the performance of pedestrian detectors using convolutional learning
Published in
Pattern Recognition, January 2017
DOI 10.1016/j.patcog.2016.05.027
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 62 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 %
Brazil 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 17 27%
Student > Ph. D. Student 12 19%
Student > Doctoral Student 5 8%
Professor 5 8%
Student > Bachelor 4 6%
Other 10 16%
Unknown 9 15%
Readers by discipline
Readers by discipline Count As %
Computer Science 30 48%
Engineering 15 24%
Business, Management and Accounting 1 2%
Economics, Econometrics and Finance 1 2%
Decision Sciences 1 2%
Other 2 3%
Unknown 12 19%
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 27 December 2017.
All research outputs
#9,514,305
of 27,774,969 outputs
Outputs from Pattern Recognition
#893
of 3,054 outputs
Outputs of similar age
#147,811
of 423,826 outputs
Outputs of similar age from Pattern Recognition
#14
of 29 outputs
Altmetric has tracked 27,774,969 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 3,054 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 33rd percentile – i.e., 33% 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 423,826 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 29 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.