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Street-Frontage-Net: urban image classification using deep convolutional neural networks

Overview of attention for article published in International Journal of Geographical Information Science, December 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
16 X users
facebook
1 Facebook page

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
114 Mendeley
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Title
Street-Frontage-Net: urban image classification using deep convolutional neural networks
Published in
International Journal of Geographical Information Science, December 2018
DOI 10.1080/13658816.2018.1555832
Authors

Stephen Law, Chanuki Illushka Seresinhe, Yao Shen, Mario Gutierrez-Roig

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Student > Master 14 12%
Researcher 9 8%
Lecturer 6 5%
Professor 5 4%
Other 18 16%
Unknown 34 30%
Readers by discipline Count As %
Computer Science 25 22%
Engineering 12 11%
Social Sciences 8 7%
Design 7 6%
Earth and Planetary Sciences 6 5%
Other 16 14%
Unknown 40 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 March 2019.
All research outputs
#3,658,896
of 25,698,912 outputs
Outputs from International Journal of Geographical Information Science
#61
of 822 outputs
Outputs of similar age
#78,926
of 447,421 outputs
Outputs of similar age from International Journal of Geographical Information Science
#2
of 14 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 92% 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 447,421 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.