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FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data

Overview of attention for article published in BMC Bioinformatics, January 2007
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Mentioned by

patent
1 patent

Citations

dimensions_citation
423 Dimensions

Readers on

mendeley
189 Mendeley
citeulike
1 CiteULike
connotea
2 Connotea
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Title
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Published in
BMC Bioinformatics, January 2007
DOI 10.1186/1471-2105-8-3
Pubmed ID
Authors

Limin Fu, Enzo Medico

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Japan 2 1%
Argentina 2 1%
Malaysia 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 179 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 23%
Researcher 33 17%
Student > Master 19 10%
Student > Bachelor 17 9%
Professor > Associate Professor 12 6%
Other 23 12%
Unknown 41 22%
Readers by discipline Count As %
Computer Science 50 26%
Agricultural and Biological Sciences 42 22%
Engineering 19 10%
Biochemistry, Genetics and Molecular Biology 11 6%
Environmental Science 3 2%
Other 16 8%
Unknown 48 25%
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 23 February 2017.
All research outputs
#7,551,483
of 23,036,991 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,318 outputs
Outputs of similar age
#42,652
of 158,119 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 52 outputs
Altmetric has tracked 23,036,991 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 158,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.