| Title |
A generic heuristic for multi-project scheduling problems with global and local resource constraints (RCMPSP)
|
|---|---|
| Published in |
Soft Computing, January 2018
|
| DOI | 10.1007/s00500-017-3003-y |
| Authors |
Félix Villafáñez, David Poza, Adolfo López-Paredes, Javier Pajares, Ricardo del Olmo |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 56% |
| Canada | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 22% |
| Student > Ph. D. Student | 12 | 22% |
| Professor > Associate Professor | 4 | 7% |
| Lecturer | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 18 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 14 | 25% |
| Business, Management and Accounting | 11 | 20% |
| Computer Science | 4 | 7% |
| Decision Sciences | 3 | 5% |
| Economics, Econometrics and Finance | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 17 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 03 March 2018.
All research outputs
#3,940,123
of 23,839,820 outputs
Outputs from Soft Computing
#17
of 465 outputs
Outputs of similar age
#85,355
of 446,168 outputs
Outputs of similar age from Soft Computing
#1
of 12 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 96% of its peers.
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 446,168 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.