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K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space

Overview of attention for article published in BMC Bioinformatics, February 2008
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
170 Mendeley
citeulike
5 CiteULike
connotea
2 Connotea
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Title
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
Published in
BMC Bioinformatics, February 2008
DOI 10.1186/1471-2105-9-106
Pubmed ID
Authors

Max Bylesjö, Mattias Rantalainen, Jeremy K Nicholson, Elaine Holmes, Johan Trygg

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Russia 3 2%
Colombia 2 1%
United States 2 1%
Sweden 2 1%
South Africa 2 1%
France 1 <1%
Norway 1 <1%
Israel 1 <1%
Other 5 3%
Unknown 147 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 32%
Student > Ph. D. Student 41 24%
Student > Master 12 7%
Professor 11 6%
Student > Bachelor 8 5%
Other 30 18%
Unknown 14 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 30%
Chemistry 27 16%
Engineering 13 8%
Computer Science 12 7%
Biochemistry, Genetics and Molecular Biology 12 7%
Other 37 22%
Unknown 18 11%
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 14 February 2015.
All research outputs
#7,461,241
of 22,811,321 outputs
Outputs from BMC Bioinformatics
#3,024
of 7,284 outputs
Outputs of similar age
#28,540
of 80,049 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 42 outputs
Altmetric has tracked 22,811,321 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 7,284 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 80,049 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.