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Cluster analysis of genome-wide expression data for feature extraction

Overview of attention for article published in Expert Systems with Applications, March 2009
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30 Mendeley
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Article details
Title
Cluster analysis of genome-wide expression data for feature extraction
Published in
Expert Systems with Applications, March 2009
DOI 10.1016/j.eswa.2008.01.068
Authors

Kuo-Sheng Lin, Chen-Fu Chien

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 1 3%
United States 1 3%
Mexico 1 3%
Italy 1 3%
Unknown 26 87%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 6 20%
Student > Ph. D. Student 5 17%
Researcher 5 17%
Lecturer 2 7%
Student > Postgraduate 2 7%
Other 6 20%
Unknown 4 13%
Readers by discipline
Readers by discipline Count As %
Computer Science 9 30%
Agricultural and Biological Sciences 4 13%
Engineering 4 13%
Materials Science 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 13%
Unknown 6 20%
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 15 April 2015.
All research outputs
#19,157,392
of 27,781,301 outputs
Outputs from Expert Systems with Applications
#2,296
of 4,607 outputs
Outputs of similar age
#103,442
of 118,343 outputs
Outputs of similar age from Expert Systems with Applications
#91
of 105 outputs
Altmetric has tracked 27,781,301 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 4,607 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 35th percentile – i.e., 35% 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 118,343 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.