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Global minimization of large-scale constrained concave quadratic problems by separable programming

Overview of attention for article published in Mathematical Programming, March 1986
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Mentioned by

patent
1 patent

Citations

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86 Dimensions

Readers on

mendeley
15 Mendeley
Title
Global minimization of large-scale constrained concave quadratic problems by separable programming
Published in
Mathematical Programming, March 1986
DOI 10.1007/bf01580581
Authors

J. B. Rosen, P. M. Pardalos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 7%
Czechia 1 7%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Researcher 4 27%
Student > Doctoral Student 1 7%
Other 1 7%
Lecturer 1 7%
Other 1 7%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 5 33%
Engineering 4 27%
Chemical Engineering 1 7%
Neuroscience 1 7%
Economics, Econometrics and Finance 1 7%
Other 0 0%
Unknown 3 20%
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 23 April 2013.
All research outputs
#7,552,525
of 23,039,416 outputs
Outputs from Mathematical Programming
#148
of 678 outputs
Outputs of similar age
#2,903
of 10,528 outputs
Outputs of similar age from Mathematical Programming
#1
of 1 outputs
Altmetric has tracked 23,039,416 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 678 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 49th percentile – i.e., 49% 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 10,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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