↓ Skip to main content

'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns

Overview of attention for article published in Genome Biology, August 2000
Altmetric Badge

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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

policy
1 policy source
patent
9 patents
q&a
2 Q&A threads

Citations

dimensions_citation
404 Dimensions

Readers on

mendeley
284 Mendeley
citeulike
6 CiteULike
connotea
2 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns
Published in
Genome Biology, August 2000
DOI 10.1186/gb-2000-1-2-research0003
Pubmed ID
Authors

Trevor Hastie, Robert Tibshirani, Michael B Eisen, Ash Alizadeh, Ronald Levy, Louis Staudt, Wing C Chan, David Botstein, Patrick Brown

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 20 7%
Germany 2 <1%
United Kingdom 2 <1%
Brazil 2 <1%
Canada 2 <1%
Norway 1 <1%
Italy 1 <1%
South Africa 1 <1%
Indonesia 1 <1%
Other 8 3%
Unknown 244 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 80 28%
Student > Ph. D. Student 66 23%
Professor > Associate Professor 31 11%
Professor 21 7%
Student > Master 14 5%
Other 46 16%
Unknown 26 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 32%
Computer Science 52 18%
Mathematics 33 12%
Biochemistry, Genetics and Molecular Biology 23 8%
Medicine and Dentistry 18 6%
Other 31 11%
Unknown 35 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 13 May 2015.
All research outputs
#3,158,868
of 25,494,370 outputs
Outputs from Genome Biology
#2,324
of 4,480 outputs
Outputs of similar age
#3,003
of 38,211 outputs
Outputs of similar age from Genome Biology
#2
of 9 outputs
Altmetric has tracked 25,494,370 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,480 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 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 38,211 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 91% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.