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On the empirical scaling of running time for finding optimal solutions to the TSP

Overview of attention for article published in Journal of Heuristics, June 2018
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About this Attention Score

  • Among the highest-scoring outputs from this source (#48 of 106)
  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

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3 X users

Citations

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7 Dimensions

Readers on

mendeley
8 Mendeley
Title
On the empirical scaling of running time for finding optimal solutions to the TSP
Published in
Journal of Heuristics, June 2018
DOI 10.1007/s10732-018-9374-0
Authors

Zongxu Mu, Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Researcher 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 4 50%
Linguistics 1 13%
Unknown 3 38%
Attention Score in Context

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 21 June 2018.
All research outputs
#12,982,464
of 23,088,369 outputs
Outputs from Journal of Heuristics
#48
of 106 outputs
Outputs of similar age
#156,592
of 328,920 outputs
Outputs of similar age from Journal of Heuristics
#1
of 2 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 106 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 54% 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 328,920 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
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. This one has scored higher than all of them