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Robust solutions of Linear Programming problems contaminated with uncertain data

Overview of attention for article published in Mathematical Programming, September 2000
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Mentioned by

patent
1 patent

Citations

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1256 Dimensions

Readers on

mendeley
600 Mendeley
citeulike
4 CiteULike
Title
Robust solutions of Linear Programming problems contaminated with uncertain data
Published in
Mathematical Programming, September 2000
DOI 10.1007/pl00011380
Authors

Aharon Ben-Tal, Arkadi Nemirovski

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 600 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
Germany 3 <1%
India 3 <1%
Chile 2 <1%
Switzerland 2 <1%
China 2 <1%
Australia 2 <1%
Brazil 1 <1%
Portugal 1 <1%
Other 11 2%
Unknown 568 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 169 28%
Student > Master 97 16%
Researcher 50 8%
Student > Doctoral Student 45 8%
Professor > Associate Professor 35 6%
Other 90 15%
Unknown 114 19%
Readers by discipline Count As %
Engineering 199 33%
Business, Management and Accounting 74 12%
Mathematics 51 9%
Computer Science 46 8%
Decision Sciences 23 4%
Other 63 11%
Unknown 144 24%
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 14 January 2010.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Mathematical Programming
#159
of 787 outputs
Outputs of similar age
#12,949
of 37,744 outputs
Outputs of similar age from Mathematical Programming
#1
of 3 outputs
Altmetric has tracked 25,373,627 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 787 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 50% 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 37,744 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
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