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A stochastic method for global optimization

Overview of attention for article published in Mathematical Programming, December 1982
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
200 Dimensions

Readers on

mendeley
31 Mendeley
Title
A stochastic method for global optimization
Published in
Mathematical Programming, December 1982
DOI 10.1007/bf01581033
Authors

C. G. E. Boender, A. H. G. Rinnooy Kan, G. T. Timmer, L. Stougie

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Czechia 1 3%
Austria 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 39%
Researcher 6 19%
Student > Master 3 10%
Professor 2 6%
Lecturer 2 6%
Other 2 6%
Unknown 4 13%
Readers by discipline Count As %
Engineering 10 32%
Computer Science 5 16%
Mathematics 2 6%
Economics, Econometrics and Finance 2 6%
Agricultural and Biological Sciences 1 3%
Other 5 16%
Unknown 6 19%
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 October 2006.
All research outputs
#7,453,350
of 22,786,087 outputs
Outputs from Mathematical Programming
#145
of 678 outputs
Outputs of similar age
#5,983
of 33,362 outputs
Outputs of similar age from Mathematical Programming
#3
of 9 outputs
Altmetric has tracked 22,786,087 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 33,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.