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A Polynomial-Time Algorithm for Detecting the Possibility of Braess Paradox in Directed Graphs

Overview of attention for article published in Algorithmica, July 2018
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3 X users

Citations

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Readers on

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3 Mendeley
Title
A Polynomial-Time Algorithm for Detecting the Possibility of Braess Paradox in Directed Graphs
Published in
Algorithmica, July 2018
DOI 10.1007/s00453-018-0486-6
Authors

Pietro Cenciarelli, Daniele Gorla, Ivano Salvo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 3 100%
Attention Score in Context

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 11 October 2017.
All research outputs
#17,823,285
of 22,896,955 outputs
Outputs from Algorithmica
#362
of 419 outputs
Outputs of similar age
#236,404
of 329,022 outputs
Outputs of similar age from Algorithmica
#7
of 8 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 419 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 12th percentile – i.e., 12% 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 329,022 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.