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Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas

Overview of attention for article published in ADS, March 2009
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1 X user

Citations

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242 Dimensions

Readers on

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150 Mendeley
Title
Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas
Published in
ADS, March 2009
DOI 10.1155/2009/783194
Authors

Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
Ireland 1 <1%
South Africa 1 <1%
Finland 1 <1%
India 1 <1%
Egypt 1 <1%
United States 1 <1%
Unknown 143 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 29%
Student > Master 27 18%
Researcher 19 13%
Student > Doctoral Student 6 4%
Student > Bachelor 5 3%
Other 16 11%
Unknown 34 23%
Readers by discipline Count As %
Engineering 35 23%
Computer Science 27 18%
Earth and Planetary Sciences 15 10%
Environmental Science 12 8%
Agricultural and Biological Sciences 7 5%
Other 14 9%
Unknown 40 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2017.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from ADS
#19,189
of 25,974 outputs
Outputs of similar age
#91,857
of 107,310 outputs
Outputs of similar age from ADS
#190
of 226 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,974 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 107,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.