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Monte Carlo bounding techniques for determining solution quality in stochastic programs

Overview of attention for article published in Operations Research Letters, February 1999
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About this Attention Score

  • Among the highest-scoring outputs from this source (#41 of 398)
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

patent
1 patent
q&a
1 Q&A thread

Readers on

mendeley
235 Mendeley
citeulike
1 CiteULike
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Article details
Title
Monte Carlo bounding techniques for determining solution quality in stochastic programs
Published in
Operations Research Letters, February 1999
DOI 10.1016/s0167-6377(98)00054-6
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 9 4%
India 2 <1%
Germany 2 <1%
Korea, Republic of 1 <1%
Italy 1 <1%
Ireland 1 <1%
Indonesia 1 <1%
United Kingdom 1 <1%
China 1 <1%
Other 2 <1%
Unknown 214 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 67 29%
Researcher 25 11%
Professor 20 9%
Student > Doctoral Student 18 8%
Student > Master 18 8%
Other 48 20%
Unknown 39 17%
Readers by discipline
Readers by discipline Count As %
Engineering 79 34%
Business, Management and Accounting 38 16%
Mathematics 25 11%
Computer Science 19 8%
Chemical Engineering 3 1%
Other 16 7%
Unknown 55 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 July 2023.
All research outputs
#7,471,589
of 29,217,699 outputs
Outputs from Operations Research Letters
#41
of 398 outputs
Outputs of similar age
#20,286
of 114,460 outputs
Outputs of similar age from Operations Research Letters
#1
of 3 outputs
Altmetric has tracked 29,217,699 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 398 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 88% 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 114,460 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 3 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