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Normalization Benefits Microarray-Based Classification

Overview of attention for article published in EURASIP Journal on Bioinformatics & Systems Biology, August 2006
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Mentioned by

patent
1 patent

Citations

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16 Dimensions

Readers on

mendeley
16 Mendeley
Title
Normalization Benefits Microarray-Based Classification
Published in
EURASIP Journal on Bioinformatics & Systems Biology, August 2006
DOI 10.1155/bsb/2006/43056
Pubmed ID
Authors

Jianping Hua, Yoganand Balagurunathan, Yidong Chen, James Lowey, Michael L Bittner, Zixiang Xiong, Edward Suh, Edward R Dougherty

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uzbekistan 1 6%
Sweden 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 44%
Student > Master 2 13%
Student > Ph. D. Student 2 13%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 31%
Engineering 3 19%
Medicine and Dentistry 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Decision Sciences 1 6%
Other 3 19%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 February 2011.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from EURASIP Journal on Bioinformatics & Systems Biology
#12
of 53 outputs
Outputs of similar age
#31,360
of 91,784 outputs
Outputs of similar age from EURASIP Journal on Bioinformatics & Systems Biology
#1
of 1 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 67% 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 91,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them