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Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models

Overview of attention for article published in BMC Systems Biology, June 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
77 Mendeley
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Title
Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models
Published in
BMC Systems Biology, June 2011
DOI 10.1186/1752-0509-5-90
Pubmed ID
Authors

Kristin Tøndel, Ulf G Indahl, Arne B Gjuvsland, Jon Olav Vik, Peter Hunter, Stig W Omholt, Harald Martens

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 4%
United Kingdom 2 3%
France 1 1%
Czechia 1 1%
Norway 1 1%
Belgium 1 1%
United States 1 1%
Unknown 67 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Researcher 20 26%
Student > Master 14 18%
Professor > Associate Professor 6 8%
Professor 6 8%
Other 5 6%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 23%
Computer Science 12 16%
Engineering 7 9%
Biochemistry, Genetics and Molecular Biology 5 6%
Mathematics 5 6%
Other 20 26%
Unknown 10 13%
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 21 June 2018.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from BMC Systems Biology
#323
of 1,132 outputs
Outputs of similar age
#45,392
of 122,181 outputs
Outputs of similar age from BMC Systems Biology
#12
of 37 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 122,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 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 56% of its contemporaries.