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Performance of PLS regression coefficients in selecting variables for each response of a multivariate PLS for omics-type data

Overview of attention for article published in Advances and Applications in Bioinformatics and Chemistry : AABC, May 2009
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
148 Mendeley
Title
Performance of PLS regression coefficients in selecting variables for each response of a multivariate PLS for omics-type data
Published in
Advances and Applications in Bioinformatics and Chemistry : AABC, May 2009
DOI 10.2147/aabc.s3619
Pubmed ID
Authors

Giuseppe Palermo

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Sweden 1 <1%
Denmark 1 <1%
Unknown 143 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 32%
Researcher 27 18%
Student > Master 23 16%
Student > Bachelor 10 7%
Student > Doctoral Student 7 5%
Other 19 13%
Unknown 14 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 28%
Engineering 18 12%
Chemistry 16 11%
Environmental Science 10 7%
Biochemistry, Genetics and Molecular Biology 9 6%
Other 36 24%
Unknown 17 11%

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 27 December 2018.
All research outputs
#4,587,970
of 14,839,307 outputs
Outputs from Advances and Applications in Bioinformatics and Chemistry : AABC
#5
of 28 outputs
Outputs of similar age
#50,779
of 132,711 outputs
Outputs of similar age from Advances and Applications in Bioinformatics and Chemistry : AABC
#1
of 1 outputs
Altmetric has tracked 14,839,307 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 28 research outputs from this source. They receive a mean Attention Score of 2.5. This one scored the same or higher as 23 of them.
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 132,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them