| Title |
An energy-aware bi-level optimization model for multi-job scheduling problems under cloud computing
|
|---|---|
| Published in |
Soft Computing, December 2014
|
| DOI | 10.1007/s00500-014-1506-3 |
| Authors |
Xiaoli Wang, Yuping Wang, Yue Cui |
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 % |
|---|---|---|
| Spain | 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 40% |
| Student > Master | 6 | 17% |
| Student > Doctoral Student | 4 | 11% |
| Professor | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 57% |
| Engineering | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Unknown | 8 | 23% |
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 December 2014.
All research outputs
#16,060,819
of 23,839,820 outputs
Outputs from Soft Computing
#258
of 465 outputs
Outputs of similar age
#219,465
of 365,897 outputs
Outputs of similar age from Soft Computing
#5
of 8 outputs
Altmetric has tracked 23,839,820 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 465 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 25th percentile – i.e., 25% 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 365,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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 3 of them.