| Title |
An iterative method for solving a bi-objective constrained portfolio optimization problem
|
|---|---|
| Published in |
Computational Optimization and Applications, December 2018
|
| DOI | 10.1007/s10589-018-0052-9 |
| Authors |
Madani Bezoui, Mustapha Moulaï, Ahcène Bounceur, Reinhardt Euler |
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 % |
|---|---|---|
| France | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Lecturer | 2 | 13% |
| Professor > Associate Professor | 2 | 13% |
| Professor | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 25% |
| Economics, Econometrics and Finance | 3 | 19% |
| Mathematics | 2 | 13% |
| Decision Sciences | 1 | 6% |
| Unknown | 6 | 38% |
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 13 December 2018.
All research outputs
#16,171,492
of 23,854,458 outputs
Outputs from Computational Optimization and Applications
#89
of 338 outputs
Outputs of similar age
#270,685
of 442,496 outputs
Outputs of similar age from Computational Optimization and Applications
#4
of 5 outputs
Altmetric has tracked 23,854,458 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 338 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 57% of its peers.
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 442,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% 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.