| Title |
A multi-unit combinatorial auction based approach for decentralized multi-project scheduling
|
|---|---|
| Published in |
Autonomous Agents and Multi-Agent Systems, June 2017
|
| DOI | 10.1007/s10458-017-9370-z |
| Authors |
Wen Song, Donghun Kang, Jie Zhang, Hui Xi |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 42% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Doctoral Student | 3 | 12% |
| Lecturer | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 35% |
| Computer Science | 6 | 23% |
| Business, Management and Accounting | 4 | 15% |
| Psychology | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 19% |
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 06 July 2017.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Autonomous Agents and Multi-Agent Systems
#133
of 246 outputs
Outputs of similar age
#201,191
of 318,530 outputs
Outputs of similar age from Autonomous Agents and Multi-Agent Systems
#8
of 9 outputs
Altmetric has tracked 23,849,058 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 246 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 31st percentile – i.e., 31% 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 318,530 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.