| Title |
A distributionally robust perspective on uncertainty quantification and chance constrained programming
|
|---|---|
| Published in |
Mathematical Programming, March 2015
|
| DOI | 10.1007/s10107-015-0896-z |
| Authors |
Grani A. Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 77 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 38% |
| Researcher | 14 | 18% |
| Professor | 8 | 10% |
| Student > Master | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Other | 5 | 6% |
| Unknown | 13 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 30 | 38% |
| Mathematics | 8 | 10% |
| Computer Science | 6 | 8% |
| Decision Sciences | 5 | 6% |
| Business, Management and Accounting | 4 | 5% |
| Other | 4 | 5% |
| Unknown | 21 | 27% |
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 23 May 2015.
All research outputs
#20,274,720
of 22,807,037 outputs
Outputs from Mathematical Programming
#588
of 677 outputs
Outputs of similar age
#222,498
of 262,802 outputs
Outputs of similar age from Mathematical Programming
#10
of 21 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 677 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 262,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.