| Title |
Efficiency and Stability in Electrical Power Transmission Networks: a Partition Function Form Approach
|
|---|---|
| Published in |
Networks and Spatial Economics, September 2017
|
| DOI | 10.1007/s11067-017-9363-0 |
| Authors |
Dávid Csercsik, László Á. Kóczy |
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 % |
|---|---|---|
| Hungary | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 12 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 29% |
| Student > Ph. D. Student | 3 | 21% |
| Researcher | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 21% |
| Economics, Econometrics and Finance | 2 | 14% |
| Mathematics | 1 | 7% |
| Computer Science | 1 | 7% |
| Energy | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 3 | 21% |
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 27 September 2017.
All research outputs
#16,223,992
of 23,906,448 outputs
Outputs from Networks and Spatial Economics
#59
of 98 outputs
Outputs of similar age
#205,345
of 323,232 outputs
Outputs of similar age from Networks and Spatial Economics
#3
of 4 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 98 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 20th percentile – i.e., 20% 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 323,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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.