| Title |
Evolutionary Scheduling: A Review
|
|---|---|
| Published in |
Genetic Programming and Evolvable Machines, June 2005
|
| DOI | 10.1007/s10710-005-7580-7 |
| Authors |
Emma Hart, Peter Ross, David Corne |
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 States | 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 4% |
| Italy | 1 | 1% |
| India | 1 | 1% |
| Australia | 1 | 1% |
| Saudi Arabia | 1 | 1% |
| Venezuela, Bolivarian Republic of | 1 | 1% |
| Unknown | 81 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 29% |
| Student > Master | 19 | 21% |
| Researcher | 7 | 8% |
| Professor | 6 | 7% |
| Student > Doctoral Student | 6 | 7% |
| Other | 16 | 18% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 39 | 43% |
| Engineering | 19 | 21% |
| Business, Management and Accounting | 8 | 9% |
| Decision Sciences | 2 | 2% |
| Physics and Astronomy | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 18 | 20% |
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 05 April 2013.
All research outputs
#15,267,294
of 22,703,044 outputs
Outputs from Genetic Programming and Evolvable Machines
#91
of 121 outputs
Outputs of similar age
#50,804
of 57,168 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#1
of 2 outputs
Altmetric has tracked 22,703,044 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 121 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 10th percentile – i.e., 10% 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 57,168 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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