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Efficient arithmetic operations for rank-structured matrices based on hierarchical low-rank updates

Overview of attention for article published in arXiv, February 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
4 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
12 Mendeley
Title
Efficient arithmetic operations for rank-structured matrices based on hierarchical low-rank updates
Published in
arXiv, February 2015
DOI 10.1007/s00791-015-0233-3
Authors

Steffen Börm, Knut Reimer

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Student > Ph. D. Student 3 25%
Researcher 3 25%
Student > Doctoral Student 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 3 25%
Physics and Astronomy 3 25%
Mathematics 2 17%
Engineering 2 17%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 November 2018.
All research outputs
#6,487,695
of 23,852,579 outputs
Outputs from arXiv
#136,468
of 990,619 outputs
Outputs of similar age
#70,572
of 257,300 outputs
Outputs of similar age from arXiv
#806
of 11,054 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 990,619 research outputs from this source. They receive a mean Attention Score of 4.0. 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 257,300 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 72% of its contemporaries.
We're also able to compare this research output to 11,054 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.