↓ Skip to main content

So you think you can PLS-DA?

Overview of attention for article published in BMC Bioinformatics, December 2020
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
220 Dimensions

Readers on

mendeley
656 Mendeley
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
So you think you can PLS-DA?
Published in
BMC Bioinformatics, December 2020
DOI 10.1186/s12859-019-3310-7
Pubmed ID
Authors

Daniel Ruiz-Perez, Haibin Guan, Purnima Madhivanan, Kalai Mathee, Giri Narasimhan

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 656 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 656 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 114 17%
Student > Master 78 12%
Researcher 68 10%
Student > Bachelor 60 9%
Student > Doctoral Student 29 4%
Other 58 9%
Unknown 249 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 12%
Biochemistry, Genetics and Molecular Biology 75 11%
Chemistry 68 10%
Engineering 25 4%
Pharmacology, Toxicology and Pharmaceutical Science 16 2%
Other 121 18%
Unknown 271 41%
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 15 September 2023.
All research outputs
#7,023,687
of 24,447,003 outputs
Outputs from BMC Bioinformatics
#2,581
of 7,533 outputs
Outputs of similar age
#167,425
of 517,476 outputs
Outputs of similar age from BMC Bioinformatics
#57
of 149 outputs
Altmetric has tracked 24,447,003 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,533 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 64% 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 517,476 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 66% of its contemporaries.
We're also able to compare this research output to 149 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 61% of its contemporaries.