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Performance versus energy consumption of hyperspectral unmixing algorithms on multi-core platforms

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

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1 Facebook page

Citations

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12 Dimensions

Readers on

mendeley
19 Mendeley
Title
Performance versus energy consumption of hyperspectral unmixing algorithms on multi-core platforms
Published in
ADS, April 2013
DOI 10.1186/1687-6180-2013-68
Authors

Alfredo Remón, Sergio Sánchez, Sergio Bernabé, Enrique S Quintana-Ortí, Antonio Plaza

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 %
Spain 1 5%
New Zealand 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Researcher 4 21%
Student > Master 3 16%
Unspecified 1 5%
Librarian 1 5%
Other 0 0%
Unknown 5 26%
Readers by discipline Count As %
Engineering 4 21%
Computer Science 4 21%
Unspecified 1 5%
Environmental Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 2 11%
Unknown 6 32%
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
#22,760,732
of 25,374,917 outputs
Outputs from ADS
#24,242
of 25,975 outputs
Outputs of similar age
#186,695
of 212,759 outputs
Outputs of similar age from ADS
#607
of 667 outputs
Altmetric has tracked 25,374,917 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 212,759 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.