| Title |
Runtime Analysis of Non-elitist Populations: From Classical Optimisation to Partial Information
|
|---|---|
| Published in |
Algorithmica, February 2016
|
| DOI | 10.1007/s00453-015-0103-x |
| Authors |
Duc-Cuong Dang, Per Kristian Lehre |
X Demographics
The data shown below were collected from the profiles of 3 X users 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 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 % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 33% |
| Lecturer > Senior Lecturer | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Student > Master | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 67% |
| Mathematics | 1 | 17% |
| Engineering | 1 | 17% |
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 July 2018.
All research outputs
#13,621,195
of 23,094,276 outputs
Outputs from Algorithmica
#321
of 420 outputs
Outputs of similar age
#195,276
of 401,728 outputs
Outputs of similar age from Algorithmica
#2
of 4 outputs
Altmetric has tracked 23,094,276 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 420 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 23rd percentile – i.e., 23% 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 401,728 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 4 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.