| Title |
Leader-Follower Equilibria for Electric Power and NO x Allowances Markets
|
|---|---|
| Published in |
Computational Management Science, June 2006
|
| DOI | 10.1007/s10287-006-0020-1 |
| Authors |
Yihsu Chen, Benjamin F. Hobbs, Sven Leyffer, Todd S. Munson |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 2% |
| Colombia | 1 | 2% |
| Unknown | 39 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 39% |
| Student > Doctoral Student | 5 | 12% |
| Professor | 5 | 12% |
| Researcher | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 14 | 34% |
| Economics, Econometrics and Finance | 8 | 20% |
| Business, Management and Accounting | 3 | 7% |
| Computer Science | 2 | 5% |
| Energy | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 8 | 20% |
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 01 October 2007.
All research outputs
#7,514,847
of 22,950,943 outputs
Outputs from Computational Management Science
#9
of 66 outputs
Outputs of similar age
#22,730
of 64,649 outputs
Outputs of similar age from Computational Management Science
#1
of 1 outputs
Altmetric has tracked 22,950,943 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 66 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 62% 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 64,649 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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