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Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm

Overview of attention for article published in BMC Bioinformatics, August 2005
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Mentioned by

patent
1 patent

Citations

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40 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
Published in
BMC Bioinformatics, August 2005
DOI 10.1186/1471-2105-6-195
Pubmed ID
Authors

Kevin Dawson, Raymond L Rodriguez, Wasyl Malyj

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 5%
France 1 2%
Netherlands 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 36 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 11 26%
Student > Doctoral Student 3 7%
Student > Master 3 7%
Student > Bachelor 2 5%
Other 5 12%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 29%
Computer Science 7 17%
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 4 10%
Mathematics 1 2%
Other 4 10%
Unknown 8 19%
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 22 October 2019.
All research outputs
#8,880,246
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#3,336
of 7,793 outputs
Outputs of similar age
#25,856
of 70,961 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 26 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 48th percentile – i.e., 48% 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 70,961 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.