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On the inclusion principle for the hierarchical finite element method

Overview of attention for article published in International Journal for Numerical Methods in Engineering, June 2005
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patent
1 patent

Readers on

mendeley
15 Mendeley
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Article details
Title
On the inclusion principle for the hierarchical finite element method
Published in
International Journal for Numerical Methods in Engineering, June 2005
DOI 10.1002/nme.1620190209
Authors

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Timeline Attention over time Attention Score history
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 4 27%
Student > Ph. D. Student 3 20%
Student > Bachelor 1 7%
Professor 1 7%
Researcher 1 7%
Other 1 7%
Unknown 4 27%
Readers by discipline
Readers by discipline Count As %
Engineering 8 53%
Business, Management and Accounting 1 7%
Unknown 6 40%
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 24 December 2014.
All research outputs
#8,226,673
of 24,647,023 outputs
Outputs from International Journal for Numerical Methods in Engineering
#117
of 924 outputs
Outputs of similar age
#21,961
of 61,159 outputs
Outputs of similar age from International Journal for Numerical Methods in Engineering
#6
of 22 outputs
Altmetric has tracked 24,647,023 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 924 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 49th percentile – i.e., 49% 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 61,159 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 22 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.