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Selection of informative clusters from hierarchical cluster tree with gene classes

Overview of attention for article published in BMC Bioinformatics, March 2004
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Mentioned by

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1 Q&A thread

Citations

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38 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Selection of informative clusters from hierarchical cluster tree with gene classes
Published in
BMC Bioinformatics, March 2004
DOI 10.1186/1471-2105-5-32
Pubmed ID
Authors

Petri Toronen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Sweden 1 3%
Poland 1 3%
Kenya 1 3%
Unknown 25 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 34%
Student > Ph. D. Student 8 28%
Professor > Associate Professor 3 10%
Student > Master 3 10%
Professor 2 7%
Other 3 10%
Readers by discipline Count As %
Computer Science 7 24%
Agricultural and Biological Sciences 7 24%
Biochemistry, Genetics and Molecular Biology 4 14%
Business, Management and Accounting 3 10%
Environmental Science 2 7%
Other 5 17%
Unknown 1 3%
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 06 May 2010.
All research outputs
#14,543,083
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#4,007
of 7,672 outputs
Outputs of similar age
#57,832
of 65,097 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 45th percentile – i.e., 45% 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 65,097 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% 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