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PLS-Based and Regularization-Based Methods for the Selection of Relevant Variables in Non-targeted Metabolomics Data

Overview of attention for article published in Frontiers in Molecular Biosciences, July 2016
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2 X users

Citations

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105 Mendeley
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Title
PLS-Based and Regularization-Based Methods for the Selection of Relevant Variables in Non-targeted Metabolomics Data
Published in
Frontiers in Molecular Biosciences, July 2016
DOI 10.3389/fmolb.2016.00035
Pubmed ID
Authors

Renata Bujak, Emilia Daghir-Wojtkowiak, Roman Kaliszan, Michał J. Markuszewski

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
South Africa 1 <1%
Brazil 1 <1%
Unknown 102 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 27%
Student > Master 15 14%
Researcher 13 12%
Student > Bachelor 7 7%
Professor 4 4%
Other 15 14%
Unknown 23 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 17%
Biochemistry, Genetics and Molecular Biology 13 12%
Pharmacology, Toxicology and Pharmaceutical Science 10 10%
Medicine and Dentistry 10 10%
Chemistry 9 9%
Other 16 15%
Unknown 29 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 July 2016.
All research outputs
#17,811,358
of 22,881,154 outputs
Outputs from Frontiers in Molecular Biosciences
#1,682
of 3,807 outputs
Outputs of similar age
#267,160
of 365,298 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#13
of 27 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,807 research outputs from this source. They receive a mean Attention Score of 3.3. 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 365,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.