| Title |
Solving a wind turbine maintenance scheduling problem
|
|---|---|
| Published in |
Journal of Scheduling, March 2017
|
| DOI | 10.1007/s10951-017-0513-5 |
| Authors |
Aurélien Froger, Michel Gendreau, Jorge E. Mendoza, Eric Pinson, Louis-Martin Rousseau |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 25% |
| Student > Ph. D. Student | 8 | 18% |
| Researcher | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 8 | 18% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 39% |
| Decision Sciences | 3 | 7% |
| Business, Management and Accounting | 2 | 5% |
| Mathematics | 2 | 5% |
| Computer Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 15 | 34% |
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 20 March 2017.
All research outputs
#13,852,691
of 22,959,818 outputs
Outputs from Journal of Scheduling
#65
of 129 outputs
Outputs of similar age
#178,214
of 333,987 outputs
Outputs of similar age from Journal of Scheduling
#4
of 8 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 129 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 49th percentile – i.e., 49% 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 333,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% 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 4 of them.