| Title |
Level-Based Analysis of the Univariate Marginal Distribution Algorithm
|
|---|---|
| Published in |
Algorithmica, October 2018
|
| DOI | 10.1007/s00453-018-0507-5 |
| Authors |
Duc-Cuong Dang, Per Kristian Lehre, Phan Trung Hai Nguyen |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 17% |
| Professor > Associate Professor | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Lecturer > Senior Lecturer | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 33% |
| Medicine and Dentistry | 1 | 17% |
| Engineering | 1 | 17% |
| Unknown | 2 | 33% |
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 09 October 2018.
All research outputs
#15,547,315
of 23,106,390 outputs
Outputs from Algorithmica
#334
of 420 outputs
Outputs of similar age
#217,264
of 346,599 outputs
Outputs of similar age from Algorithmica
#1
of 1 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 420 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 14th percentile – i.e., 14% 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 346,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% 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