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Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification

Overview of attention for article published in IEEE Transactions on Geoscience and Remote Sensing, November 2014
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification
Published in
IEEE Transactions on Geoscience and Remote Sensing, November 2014
DOI 10.1109/tgrs.2014.2359933
Authors

Lunjun Wan, Ke Tang, Mingzhi Li, Yanfei Zhong, A. K. Qin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Student > Master 10 18%
Student > Doctoral Student 5 9%
Other 4 7%
Researcher 3 5%
Other 12 22%
Unknown 11 20%
Readers by discipline Count As %
Computer Science 17 31%
Engineering 9 16%
Earth and Planetary Sciences 6 11%
Arts and Humanities 2 4%
Psychology 1 2%
Other 6 11%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 22 June 2021.
All research outputs
#3,799,086
of 25,377,790 outputs
Outputs from IEEE Transactions on Geoscience and Remote Sensing
#133
of 3,045 outputs
Outputs of similar age
#42,960
of 271,094 outputs
Outputs of similar age from IEEE Transactions on Geoscience and Remote Sensing
#1
of 19 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,045 research outputs from this source. They receive a mean Attention Score of 4.1. 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 271,094 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 83% of its contemporaries.
We're also able to compare this research output to 19 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.