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Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data

Overview of attention for article published in ADS, April 2013
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Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
19 Mendeley
Title
Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data
Published in
ADS, April 2013
DOI 10.1186/1687-6180-2013-65
Authors

Lianru Gao, Bing Zhang, Xu Sun, Shanshan Li, Qian Du, Changshan Wu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Student > Doctoral Student 2 11%
Researcher 2 11%
Professor 1 5%
Lecturer 1 5%
Other 2 11%
Unknown 6 32%
Readers by discipline Count As %
Earth and Planetary Sciences 5 26%
Engineering 3 16%
Environmental Science 2 11%
Computer Science 1 5%
Unknown 8 42%
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 02 April 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from ADS
#24,239
of 25,975 outputs
Outputs of similar age
#186,691
of 212,757 outputs
Outputs of similar age from ADS
#607
of 667 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,975 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 1st percentile – i.e., 1% 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 212,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 667 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.