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On Polynomial Optimization Over Non-compact Semi-algebraic Sets

Overview of attention for article published in Journal of Optimization Theory and Applications, July 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#40 of 616)
  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
14 Mendeley
Title
On Polynomial Optimization Over Non-compact Semi-algebraic Sets
Published in
Journal of Optimization Theory and Applications, July 2014
DOI 10.1007/s10957-014-0545-3
Authors

V. Jeyakumar, J. B. Lasserre, G. Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 7%
France 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Ph. D. Student 3 21%
Lecturer > Senior Lecturer 2 14%
Student > Master 2 14%
Lecturer 1 7%
Other 2 14%
Readers by discipline Count As %
Mathematics 4 29%
Engineering 4 29%
Computer Science 3 21%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 February 2019.
All research outputs
#7,928,257
of 23,873,054 outputs
Outputs from Journal of Optimization Theory and Applications
#40
of 616 outputs
Outputs of similar age
#75,473
of 232,072 outputs
Outputs of similar age from Journal of Optimization Theory and Applications
#1
of 5 outputs
Altmetric has tracked 23,873,054 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 616 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done well, scoring higher than 76% 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 232,072 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 55% of its contemporaries.
We're also able to compare this research output to 5 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