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Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks

Overview of attention for article published in International Journal of Remote Sensing, July 2022
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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 (78th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks
Published in
International Journal of Remote Sensing, July 2022
DOI 10.1080/01431161.2022.2093621
Authors

Mohammed Ahmed AL-Kubaisi, Helmi Zulhaidi Mohd Shafri, Mohd Hasmadi Ismail, Mohd Johari Mohd Yusof, Shaiful Jahari Bin Hashim

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Earth and Planetary Sciences 1 33%
Engineering 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 July 2022.
All research outputs
#7,433,164
of 22,896,955 outputs
Outputs from International Journal of Remote Sensing
#366
of 1,707 outputs
Outputs of similar age
#141,443
of 433,986 outputs
Outputs of similar age from International Journal of Remote Sensing
#15
of 69 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,707 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 78% 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 433,986 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 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.