↓ Skip to main content

Algorithms for positive semidefinite factorization

Overview of attention for article published in Computational Optimization and Applications, March 2018
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
9 Mendeley
Title
Algorithms for positive semidefinite factorization
Published in
Computational Optimization and Applications, March 2018
DOI 10.1007/s10589-018-9998-x
Authors

Arnaud Vandaele, François Glineur, Nicolas Gillis

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Other 1 11%
Student > Ph. D. Student 1 11%
Student > Bachelor 1 11%
Researcher 1 11%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Mathematics 4 44%
Computer Science 1 11%
Physics and Astronomy 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 July 2017.
All research outputs
#18,698,308
of 23,854,458 outputs
Outputs from Computational Optimization and Applications
#143
of 338 outputs
Outputs of similar age
#246,396
of 335,479 outputs
Outputs of similar age from Computational Optimization and Applications
#1
of 3 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 338 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 56% 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 335,479 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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