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Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems

Overview of attention for article published in Computational Management Science, July 2010
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Mentioned by

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1 X user

Citations

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219 Dimensions

Readers on

mendeley
188 Mendeley
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2 CiteULike
Title
Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems
Published in
Computational Management Science, July 2010
DOI 10.1007/s10287-010-0125-4
Authors

Jean-Paul Watson, David L. Woodruff

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Belgium 1 <1%
Korea, Republic of 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 183 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 28%
Researcher 29 15%
Student > Master 27 14%
Student > Doctoral Student 13 7%
Other 7 4%
Other 21 11%
Unknown 38 20%
Readers by discipline Count As %
Engineering 68 36%
Mathematics 14 7%
Energy 13 7%
Computer Science 10 5%
Business, Management and Accounting 10 5%
Other 19 10%
Unknown 54 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2015.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Computational Management Science
#43
of 83 outputs
Outputs of similar age
#84,856
of 103,508 outputs
Outputs of similar age from Computational Management Science
#1
of 1 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 83 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 28th percentile – i.e., 28% 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 103,508 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 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