↓ Skip to main content

Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements

Overview of attention for article published in IEEE Transactions on Signal Processing, September 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
28 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements
Published in
IEEE Transactions on Signal Processing, September 2019
DOI 10.1109/tsp.2019.2941070
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Other 3 11%
Researcher 3 11%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 5 18%
Unknown 7 25%
Readers by discipline
Readers by discipline Count As %
Engineering 6 21%
Computer Science 4 14%
Mathematics 2 7%
Medicine and Dentistry 2 7%
Nursing and Health Professions 1 4%
Other 3 11%
Unknown 10 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2019.
All research outputs
#16,057,393
of 25,385,509 outputs
Outputs from IEEE Transactions on Signal Processing
#4,016
of 5,463 outputs
Outputs of similar age
#200,138
of 351,229 outputs
Outputs of similar age from IEEE Transactions on Signal Processing
#10
of 32 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,463 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 351,229 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.