| Title |
Exploiting problem structure in optimization under uncertainty via online convex optimization
|
|---|---|
| Published in |
Mathematical Programming, March 2018
|
| DOI | 10.1007/s10107-018-1262-8 |
| Authors |
Nam Ho-Nguyen, Fatma Kılınç-Karzan |
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 % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 41% |
| Student > Doctoral Student | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Professor > Associate Professor | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 28% |
| Computer Science | 6 | 21% |
| Mathematics | 3 | 10% |
| Decision Sciences | 3 | 10% |
| Business, Management and Accounting | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 5 | 17% |
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 11 September 2017.
All research outputs
#18,575,287
of 23,852,579 outputs
Outputs from Mathematical Programming
#487
of 698 outputs
Outputs of similar age
#242,691
of 331,427 outputs
Outputs of similar age from Mathematical Programming
#6
of 8 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 698 research outputs from this source. They receive a mean Attention Score of 2.9. 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 331,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.