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Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification

Overview of attention for article published in ISPRS Journal of Photogrammetry & Remote Sensing, April 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
5 X users
patent
1 patent

Citations

dimensions_citation
217 Dimensions

Readers on

mendeley
175 Mendeley
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Title
Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification
Published in
ISPRS Journal of Photogrammetry & Remote Sensing, April 2018
DOI 10.1016/j.isprsjprs.2018.01.023
Authors

Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, Jorma Laaksonen

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 175 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 18%
Student > Ph. D. Student 26 15%
Researcher 23 13%
Student > Doctoral Student 13 7%
Student > Bachelor 10 6%
Other 19 11%
Unknown 52 30%
Readers by discipline Count As %
Computer Science 51 29%
Engineering 32 18%
Earth and Planetary Sciences 9 5%
Agricultural and Biological Sciences 8 5%
Environmental Science 5 3%
Other 13 7%
Unknown 57 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 July 2022.
All research outputs
#7,051,839
of 25,385,509 outputs
Outputs from ISPRS Journal of Photogrammetry & Remote Sensing
#337
of 1,014 outputs
Outputs of similar age
#115,559
of 343,821 outputs
Outputs of similar age from ISPRS Journal of Photogrammetry & Remote Sensing
#3
of 18 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 66% 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 343,821 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 66% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.