| Title |
Exploiting partial correlations in distributionally robust optimization
|
|---|---|
| Published in |
Mathematical Programming, December 2019
|
| DOI | 10.1007/s10107-019-01453-5 |
| Authors |
Divya Padmanabhan, Karthik Natarajan, Karthyek Murthy |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 12 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 16% |
| Mathematics | 4 | 13% |
| Business, Management and Accounting | 2 | 6% |
| Computer Science | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 14 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 December 2019.
All research outputs
#13,663,856
of 23,179,757 outputs
Outputs from Mathematical Programming
#361
of 677 outputs
Outputs of similar age
#224,050
of 459,103 outputs
Outputs of similar age from Mathematical Programming
#4
of 5 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 46th percentile – i.e., 46% 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 459,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.