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Strong-association-rule mining for large-scale gene-expression data analysis: a case study on human SAGE data

Overview of attention for article published in Genome Biology, November 2002
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
128 Dimensions

Readers on

mendeley
85 Mendeley
citeulike
2 CiteULike
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Title
Strong-association-rule mining for large-scale gene-expression data analysis: a case study on human SAGE data
Published in
Genome Biology, November 2002
DOI 10.1186/gb-2002-3-12-research0067
Pubmed ID
Authors

Céline Becquet, Sylvain Blachon, Baptiste Jeudy, Jean-Francois Boulicaut, Olivier Gandrillon

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 6%
United States 4 5%
Canada 2 2%
Denmark 2 2%
France 1 1%
Netherlands 1 1%
New Zealand 1 1%
Germany 1 1%
Portugal 1 1%
Other 1 1%
Unknown 66 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 26%
Student > Ph. D. Student 20 24%
Professor > Associate Professor 13 15%
Student > Postgraduate 5 6%
Student > Doctoral Student 4 5%
Other 14 16%
Unknown 7 8%
Readers by discipline Count As %
Computer Science 30 35%
Agricultural and Biological Sciences 27 32%
Engineering 5 6%
Biochemistry, Genetics and Molecular Biology 5 6%
Medicine and Dentistry 3 4%
Other 6 7%
Unknown 9 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 August 2016.
All research outputs
#7,959,659
of 25,373,627 outputs
Outputs from Genome Biology
#3,393
of 4,467 outputs
Outputs of similar age
#31,412
of 135,019 outputs
Outputs of similar age from Genome Biology
#11
of 22 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 23rd percentile – i.e., 23% 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 135,019 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.