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On the use of deep learning for blind image quality assessment

Overview of attention for article published in Signal, Image and Video Processing, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 697)
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
14 X users

Citations

dimensions_citation
253 Dimensions

Readers on

mendeley
224 Mendeley
Title
On the use of deep learning for blind image quality assessment
Published in
Signal, Image and Video Processing, August 2017
DOI 10.1007/s11760-017-1166-8
Authors

Simone Bianco, Luigi Celona, Paolo Napoletano, Raimondo Schettini

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Arab Emirates 1 <1%
Italy 1 <1%
Austria 1 <1%
Singapore 1 <1%
United States 1 <1%
Unknown 219 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 22%
Student > Master 40 18%
Researcher 25 11%
Student > Bachelor 14 6%
Student > Doctoral Student 7 3%
Other 22 10%
Unknown 66 29%
Readers by discipline Count As %
Computer Science 88 39%
Engineering 47 21%
Earth and Planetary Sciences 3 1%
Medicine and Dentistry 3 1%
Agricultural and Biological Sciences 2 <1%
Other 12 5%
Unknown 69 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 April 2017.
All research outputs
#5,269,881
of 26,017,215 outputs
Outputs from Signal, Image and Video Processing
#17
of 697 outputs
Outputs of similar age
#82,078
of 327,776 outputs
Outputs of similar age from Signal, Image and Video Processing
#1
of 5 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 697 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done particularly well, scoring higher than 97% of its peers.
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 327,776 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them