↓ Skip to main content

The Convex Geometry of Linear Inverse Problems

Overview of attention for article published in Foundations of Computational Mathematics, October 2012
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 236)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
policy
1 policy source
twitter
4 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
749 Dimensions

Readers on

mendeley
501 Mendeley
Title
The Convex Geometry of Linear Inverse Problems
Published in
Foundations of Computational Mathematics, October 2012
DOI 10.1007/s10208-012-9135-7
Authors

Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky

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

Geographical breakdown

Country Count As %
United States 19 4%
France 4 <1%
Germany 3 <1%
Switzerland 3 <1%
China 3 <1%
United Kingdom 2 <1%
Cuba 2 <1%
Canada 2 <1%
New Zealand 1 <1%
Other 7 1%
Unknown 455 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 187 37%
Researcher 80 16%
Student > Master 51 10%
Student > Doctoral Student 24 5%
Professor > Associate Professor 23 5%
Other 71 14%
Unknown 65 13%
Readers by discipline Count As %
Engineering 165 33%
Computer Science 118 24%
Mathematics 90 18%
Social Sciences 9 2%
Physics and Astronomy 7 1%
Other 32 6%
Unknown 80 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 01 March 2022.
All research outputs
#1,123,017
of 23,230,825 outputs
Outputs from Foundations of Computational Mathematics
#4
of 236 outputs
Outputs of similar age
#6,927
of 175,448 outputs
Outputs of similar age from Foundations of Computational Mathematics
#1
of 2 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 236 research outputs from this source. They receive a mean Attention Score of 2.4. 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 175,448 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