| Title |
Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms
|
|---|---|
| Published in |
Computational Economics, April 2008
|
| DOI | 10.1007/s10614-008-9127-5 |
| Authors |
Eric Guerci, Stefano Ivaldi, Silvano Cincotti |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 5% |
| Portugal | 1 | 5% |
| France | 1 | 5% |
| Unknown | 19 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 32% |
| Student > Ph. D. Student | 4 | 18% |
| Researcher | 3 | 14% |
| Professor | 2 | 9% |
| Other | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 23% |
| Engineering | 5 | 23% |
| Business, Management and Accounting | 4 | 18% |
| Economics, Econometrics and Finance | 3 | 14% |
| Mathematics | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 2 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 November 2015.
All research outputs
#7,469,234
of 22,834,308 outputs
Outputs from Computational Economics
#45
of 190 outputs
Outputs of similar age
#28,003
of 80,253 outputs
Outputs of similar age from Computational Economics
#1
of 4 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 190 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 55% 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 80,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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