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The Method of Proper Orthogonal Decomposition for Dynamical Characterization and Order Reduction of Mechanical Systems: An Overview

Overview of attention for article published in Nonlinear Dynamics, August 2005
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Mentioned by

wikipedia
1 Wikipedia page

Citations

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662 Dimensions

Readers on

mendeley
519 Mendeley
citeulike
2 CiteULike
Title
The Method of Proper Orthogonal Decomposition for Dynamical Characterization and Order Reduction of Mechanical Systems: An Overview
Published in
Nonlinear Dynamics, August 2005
DOI 10.1007/s11071-005-2803-2
Authors

Gaetan Kerschen, Jean-claude Golinval, ALEXANDER F. VAKAKIS, LAWRENCE A. BERGMAN

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 519 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 1%
France 4 <1%
Italy 4 <1%
Germany 2 <1%
Sweden 2 <1%
Brazil 1 <1%
Norway 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Other 2 <1%
Unknown 494 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 177 34%
Student > Master 70 13%
Researcher 66 13%
Student > Doctoral Student 36 7%
Professor 23 4%
Other 55 11%
Unknown 92 18%
Readers by discipline Count As %
Engineering 294 57%
Mathematics 24 5%
Physics and Astronomy 15 3%
Computer Science 13 3%
Earth and Planetary Sciences 8 2%
Other 43 8%
Unknown 122 24%
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 15 June 2018.
All research outputs
#7,571,329
of 23,090,520 outputs
Outputs from Nonlinear Dynamics
#81
of 548 outputs
Outputs of similar age
#20,309
of 57,615 outputs
Outputs of similar age from Nonlinear Dynamics
#2
of 5 outputs
Altmetric has tracked 23,090,520 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 548 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 69% 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 57,615 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.