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Scenario tree modeling for multistage stochastic programs

Overview of attention for article published in Mathematical Programming, November 2007
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Mentioned by

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1 patent

Citations

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219 Dimensions

Readers on

mendeley
154 Mendeley
Title
Scenario tree modeling for multistage stochastic programs
Published in
Mathematical Programming, November 2007
DOI 10.1007/s10107-007-0197-2
Authors

Holger Heitsch, Werner Römisch

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 3 2%
United Kingdom 2 1%
Belgium 2 1%
Italy 1 <1%
Austria 1 <1%
France 1 <1%
Singapore 1 <1%
Germany 1 <1%
Chile 1 <1%
Other 1 <1%
Unknown 140 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 25%
Student > Master 31 20%
Researcher 16 10%
Professor > Associate Professor 12 8%
Student > Doctoral Student 10 6%
Other 23 15%
Unknown 23 15%
Readers by discipline Count As %
Engineering 58 38%
Mathematics 17 11%
Business, Management and Accounting 15 10%
Computer Science 11 7%
Decision Sciences 3 2%
Other 13 8%
Unknown 37 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 29 January 2015.
All research outputs
#7,552,525
of 23,039,416 outputs
Outputs from Mathematical Programming
#148
of 678 outputs
Outputs of similar age
#26,319
of 78,163 outputs
Outputs of similar age from Mathematical Programming
#1
of 1 outputs
Altmetric has tracked 23,039,416 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 78,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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