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Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification

Overview of attention for article published in Cognitive Computation, October 2017
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1 X user

Citations

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29 Dimensions

Readers on

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17 Mendeley
Title
Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification
Published in
Cognitive Computation, October 2017
DOI 10.1007/s12559-017-9515-z
Authors

Guoqiang Zhong, Shoujun Yan, Kaizhu Huang, Yajuan Cai, Junyu Dong

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 12%
Student > Ph. D. Student 2 12%
Student > Doctoral Student 1 6%
Lecturer 1 6%
Researcher 1 6%
Other 0 0%
Unknown 10 59%
Readers by discipline Count As %
Computer Science 3 18%
Engineering 2 12%
Agricultural and Biological Sciences 1 6%
Unknown 11 65%
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 05 October 2017.
All research outputs
#18,573,839
of 23,005,189 outputs
Outputs from Cognitive Computation
#221
of 413 outputs
Outputs of similar age
#247,414
of 323,110 outputs
Outputs of similar age from Cognitive Computation
#6
of 15 outputs
Altmetric has tracked 23,005,189 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 413 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 3rd percentile – i.e., 3% 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 323,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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.