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libMesh: a C++ library for parallel adaptive mesh refinement/coarsening simulations

Overview of attention for article published in Engineering with Computers, November 2006
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 182)

Mentioned by

patent
2 patents

Citations

dimensions_citation
587 Dimensions

Readers on

mendeley
299 Mendeley
citeulike
2 CiteULike
Title
libMesh: a C++ library for parallel adaptive mesh refinement/coarsening simulations
Published in
Engineering with Computers, November 2006
DOI 10.1007/s00366-006-0049-3
Authors

Benjamin S. Kirk, John W. Peterson, Roy H. Stogner, Graham F. Carey

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Germany 3 1%
United Kingdom 3 1%
Brazil 2 <1%
Korea, Republic of 1 <1%
France 1 <1%
Denmark 1 <1%
Canada 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 280 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 32%
Researcher 63 21%
Student > Doctoral Student 20 7%
Student > Master 19 6%
Professor > Associate Professor 16 5%
Other 50 17%
Unknown 35 12%
Readers by discipline Count As %
Engineering 103 34%
Mathematics 33 11%
Computer Science 32 11%
Physics and Astronomy 29 10%
Materials Science 18 6%
Other 32 11%
Unknown 52 17%
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 12 September 2012.
All research outputs
#7,549,344
of 23,031,582 outputs
Outputs from Engineering with Computers
#34
of 182 outputs
Outputs of similar age
#41,808
of 156,514 outputs
Outputs of similar age from Engineering with Computers
#1
of 2 outputs
Altmetric has tracked 23,031,582 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 182 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 34th percentile – i.e., 34% 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 156,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them