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On the selection of appropriate distances for gene expression data clustering

Overview of attention for article published in BMC Bioinformatics, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
patent
2 patents
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
220 Mendeley
citeulike
2 CiteULike
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Title
On the selection of appropriate distances for gene expression data clustering
Published in
BMC Bioinformatics, January 2014
DOI 10.1186/1471-2105-15-s2-s2
Pubmed ID
Authors

Pablo A Jaskowiak, Ricardo JGB Campello, Ivan G Costa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 2 <1%
Argentina 1 <1%
Brazil 1 <1%
Nigeria 1 <1%
Belgium 1 <1%
Russia 1 <1%
China 1 <1%
Unknown 207 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 27%
Researcher 42 19%
Student > Master 36 16%
Student > Bachelor 19 9%
Student > Doctoral Student 11 5%
Other 19 9%
Unknown 33 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 25%
Biochemistry, Genetics and Molecular Biology 44 20%
Computer Science 34 15%
Engineering 13 6%
Medicine and Dentistry 9 4%
Other 28 13%
Unknown 38 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 16 November 2021.
All research outputs
#2,736,393
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#753
of 7,793 outputs
Outputs of similar age
#30,868
of 327,202 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 93 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 90% 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 327,202 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.