↓ Skip to main content

REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems

Overview of attention for article published in Numerical Algorithms, March 1994
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 151)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

twitter
1 X user
patent
6 patents

Citations

dimensions_citation
1206 Dimensions

Readers on

mendeley
709 Mendeley
citeulike
4 CiteULike
Title
REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems
Published in
Numerical Algorithms, March 1994
DOI 10.1007/bf02149761
Authors

Per Christian Hansen

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

Geographical breakdown

Country Count As %
Germany 9 1%
United States 8 1%
Spain 5 <1%
Canada 5 <1%
China 4 <1%
France 3 <1%
United Kingdom 3 <1%
Switzerland 2 <1%
Brazil 2 <1%
Other 16 2%
Unknown 652 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 207 29%
Researcher 141 20%
Student > Master 81 11%
Student > Doctoral Student 44 6%
Professor > Associate Professor 42 6%
Other 122 17%
Unknown 72 10%
Readers by discipline Count As %
Engineering 262 37%
Physics and Astronomy 70 10%
Earth and Planetary Sciences 66 9%
Mathematics 56 8%
Computer Science 49 7%
Other 97 14%
Unknown 109 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 August 2020.
All research outputs
#3,102,958
of 22,696,971 outputs
Outputs from Numerical Algorithms
#3
of 151 outputs
Outputs of similar age
#1,172
of 22,479 outputs
Outputs of similar age from Numerical Algorithms
#1
of 1 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 151 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 98% 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 22,479 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 94% 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