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User-Friendly Tail Bounds for Sums of Random Matrices

Overview of attention for article published in Foundations of Computational Mathematics, August 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 248)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

blogs
4 blogs
policy
2 policy sources
twitter
5 X users
wikipedia
7 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
690 Dimensions

Readers on

mendeley
286 Mendeley
citeulike
2 CiteULike
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Title
User-Friendly Tail Bounds for Sums of Random Matrices
Published in
Foundations of Computational Mathematics, August 2011
DOI 10.1007/s10208-011-9099-z
Authors

Joel A. Tropp

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 286 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 5%
Germany 2 <1%
France 1 <1%
Ireland 1 <1%
Italy 1 <1%
Sweden 1 <1%
Israel 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Other 7 2%
Unknown 256 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 38%
Researcher 40 14%
Student > Master 24 8%
Student > Doctoral Student 20 7%
Professor > Associate Professor 18 6%
Other 41 14%
Unknown 35 12%
Readers by discipline Count As %
Mathematics 92 32%
Computer Science 71 25%
Engineering 48 17%
Physics and Astronomy 12 4%
Economics, Econometrics and Finance 4 1%
Other 12 4%
Unknown 47 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 14 August 2023.
All research outputs
#992,750
of 25,349,035 outputs
Outputs from Foundations of Computational Mathematics
#2
of 248 outputs
Outputs of similar age
#3,808
of 124,981 outputs
Outputs of similar age from Foundations of Computational Mathematics
#1
of 2 outputs
Altmetric has tracked 25,349,035 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 248 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 99% 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 124,981 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 96% 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