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Deep Aesthetic Quality Assessment With Semantic Information

Overview of attention for article published in IEEE Transactions on Image Processing, January 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

dimensions_citation
136 Dimensions

Readers on

mendeley
102 Mendeley
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Title
Deep Aesthetic Quality Assessment With Semantic Information
Published in
IEEE Transactions on Image Processing, January 2017
DOI 10.1109/tip.2017.2651399
Pubmed ID
Authors

Yueying Kao, Ran He, Kaiqi Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Student > Master 23 23%
Researcher 7 7%
Student > Bachelor 5 5%
Student > Doctoral Student 4 4%
Other 12 12%
Unknown 25 25%
Readers by discipline Count As %
Computer Science 52 51%
Engineering 7 7%
Psychology 3 3%
Social Sciences 2 2%
Design 2 2%
Other 7 7%
Unknown 29 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 October 2016.
All research outputs
#16,722,913
of 25,377,790 outputs
Outputs from IEEE Transactions on Image Processing
#3,257
of 4,057 outputs
Outputs of similar age
#256,182
of 423,613 outputs
Outputs of similar age from IEEE Transactions on Image Processing
#33
of 44 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,057 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 17th percentile – i.e., 17% 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 423,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.