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CONLIN: An efficient dual optimizer based on convex approximation concepts

Overview of attention for article published in Structural and Multidisciplinary Optimization, June 1989
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Mentioned by

patent
1 patent

Citations

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181 Dimensions

Readers on

mendeley
88 Mendeley
citeulike
2 CiteULike
Title
CONLIN: An efficient dual optimizer based on convex approximation concepts
Published in
Structural and Multidisciplinary Optimization, June 1989
DOI 10.1007/bf01637664
Authors

C. Fleury

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
France 1 1%
South Africa 1 1%
Denmark 1 1%
United States 1 1%
Unknown 83 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 24%
Researcher 14 16%
Student > Master 13 15%
Student > Bachelor 7 8%
Professor 4 5%
Other 15 17%
Unknown 14 16%
Readers by discipline Count As %
Engineering 57 65%
Environmental Science 2 2%
Energy 2 2%
Computer Science 2 2%
Nursing and Health Professions 1 1%
Other 6 7%
Unknown 18 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 26 July 2011.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Structural and Multidisciplinary Optimization
#91
of 403 outputs
Outputs of similar age
#4,127
of 14,059 outputs
Outputs of similar age from Structural and Multidisciplinary Optimization
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 403 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 31st percentile – i.e., 31% 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 14,059 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