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Computational partial differential equations : numerical methods and Diffpack programming

Overview of attention for book
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

syllabi
1 institution with syllabi
wikipedia
1 Wikipedia page

Readers on

mendeley
21 Mendeley
citeulike
2 CiteULike
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Title
Computational partial differential equations : numerical methods and Diffpack programming
Published by
Texts in Computational Science and Engineering, January 2003
DOI 10.1007/978-3-642-55769-9
ISBNs
978-3-54-043416-0, 978-3-64-255769-9, 978-3-64-262811-5
Authors

Langtangen, Hans Petter, Hans Petter Langtangen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
United States 1 5%
Austria 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Researcher 5 24%
Student > Master 3 14%
Student > Doctoral Student 2 10%
Professor 2 10%
Other 3 14%
Readers by discipline Count As %
Engineering 7 33%
Mathematics 3 14%
Unspecified 3 14%
Physics and Astronomy 3 14%
Agricultural and Biological Sciences 2 10%
Other 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 August 2017.
All research outputs
#7,576,681
of 25,992,468 outputs
Outputs from Texts in Computational Science and Engineering
#1
of 1 outputs
Outputs of similar age
#27,629
of 139,315 outputs
Outputs of similar age from Texts in Computational Science and Engineering
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 4.0. This one scored the same or higher as 0 of them.
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 139,315 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 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