| Title |
The Internet, evolutionary variational inequalities, and the time-dependent Braess paradox
|
|---|---|
| Published in |
Computational Management Science, September 2006
|
| DOI | 10.1007/s10287-006-0027-7 |
| Authors |
Anna Nagurney, David Parkes, Patrizia Daniele |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 6% |
| Portugal | 1 | 6% |
| Unknown | 16 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 22% |
| Professor > Associate Professor | 4 | 22% |
| Student > Doctoral Student | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Professor | 2 | 11% |
| Other | 3 | 17% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 33% |
| Business, Management and Accounting | 3 | 17% |
| Social Sciences | 2 | 11% |
| Economics, Econometrics and Finance | 1 | 6% |
| Unknown | 6 | 33% |
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 04 September 2023.
All research outputs
#16,574,313
of 24,383,935 outputs
Outputs from Computational Management Science
#39
of 72 outputs
Outputs of similar age
#60,998
of 69,630 outputs
Outputs of similar age from Computational Management Science
#2
of 2 outputs
Altmetric has tracked 24,383,935 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 72 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 27th percentile – i.e., 27% 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 69,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.