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Review of inverse Laplace transform algorithms for Laplace-space numerical approaches

Overview of attention for article published in Numerical Algorithms, August 2012
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1 X user
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Citations

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110 Mendeley
Title
Review of inverse Laplace transform algorithms for Laplace-space numerical approaches
Published in
Numerical Algorithms, August 2012
DOI 10.1007/s11075-012-9625-3
Authors

Kristopher L. Kuhlman

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Iran, Islamic Republic of 1 <1%
United States 1 <1%
Cuba 1 <1%
Unknown 105 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Researcher 19 17%
Student > Master 12 11%
Student > Doctoral Student 9 8%
Professor 5 5%
Other 17 15%
Unknown 24 22%
Readers by discipline Count As %
Engineering 19 17%
Physics and Astronomy 12 11%
Earth and Planetary Sciences 9 8%
Chemistry 9 8%
Materials Science 5 5%
Other 24 22%
Unknown 32 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 April 2012.
All research outputs
#17,656,460
of 22,664,644 outputs
Outputs from Numerical Algorithms
#105
of 151 outputs
Outputs of similar age
#121,647
of 164,793 outputs
Outputs of similar age from Numerical Algorithms
#1
of 1 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 151 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 27th percentile – i.e., 27% 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 164,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
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