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A Hybrid Descent Method for Global Optimization

Overview of attention for article published in Journal of Global Optimization, February 2004
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About this Attention Score

  • Among the highest-scoring outputs from this source (#20 of 146)
  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
12 Mendeley
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Title
A Hybrid Descent Method for Global Optimization
Published in
Journal of Global Optimization, February 2004
DOI 10.1023/b:jogo.0000015313.93974.b0
Authors

K.F.C. Yiu, Y. Liu, K.L. Teo

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 42%
Researcher 2 17%
Professor > Associate Professor 2 17%
Other 1 8%
Student > Master 1 8%
Other 1 8%
Readers by discipline Count As %
Engineering 3 25%
Mathematics 3 25%
Computer Science 3 25%
Business, Management and Accounting 1 8%
Earth and Planetary Sciences 1 8%
Other 1 8%

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 02 June 2015.
All research outputs
#3,537,642
of 12,319,267 outputs
Outputs from Journal of Global Optimization
#20
of 146 outputs
Outputs of similar age
#92,346
of 256,605 outputs
Outputs of similar age from Journal of Global Optimization
#1
of 1 outputs
Altmetric has tracked 12,319,267 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 146 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 68% 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 256,605 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 61% of its contemporaries.
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