↓ Skip to main content

A divide and conquer method for the symmetric tridiagonal eigenproblem

Overview of attention for article published in Numerische Mathematik, June 1980
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 291)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
299 Dimensions

Readers on

mendeley
49 Mendeley
Title
A divide and conquer method for the symmetric tridiagonal eigenproblem
Published in
Numerische Mathematik, June 1980
DOI 10.1007/bf01396757
Authors

J. J. M. Cuppen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Colombia 1 2%
Germany 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 33%
Student > Doctoral Student 7 14%
Researcher 7 14%
Student > Master 6 12%
Student > Bachelor 3 6%
Other 4 8%
Unknown 6 12%
Readers by discipline Count As %
Engineering 12 24%
Mathematics 10 20%
Computer Science 8 16%
Physics and Astronomy 6 12%
Environmental Science 1 2%
Other 2 4%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 26 March 2023.
All research outputs
#3,760,123
of 23,477,147 outputs
Outputs from Numerische Mathematik
#12
of 291 outputs
Outputs of similar age
#524
of 6,711 outputs
Outputs of similar age from Numerische Mathematik
#1
of 2 outputs
Altmetric has tracked 23,477,147 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 291 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 95% 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 6,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
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