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Fast, reliable and unrestricted iterative computation of Gauss–Hermite and Gauss–Laguerre quadratures

Overview of attention for article published in Numerische Mathematik, July 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#49 of 367)
  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

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7 Dimensions

Readers on

mendeley
6 Mendeley
Title
Fast, reliable and unrestricted iterative computation of Gauss–Hermite and Gauss–Laguerre quadratures
Published in
Numerische Mathematik, July 2019
DOI 10.1007/s00211-019-01066-2
Authors

Amparo Gil, Javier Segura, Nico M. Temme

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Researcher 1 17%
Other 0 0%
Readers by discipline Count As %
Engineering 3 50%
Physics and Astronomy 2 33%
Mathematics 1 17%
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 20 March 2024.
All research outputs
#7,410,118
of 25,528,120 outputs
Outputs from Numerische Mathematik
#49
of 367 outputs
Outputs of similar age
#125,335
of 359,862 outputs
Outputs of similar age from Numerische Mathematik
#1
of 7 outputs
Altmetric has tracked 25,528,120 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 367 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 86% 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 359,862 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 7 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