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Analyzing the Effects of Instance Features and Algorithm Parameters for Max–Min Ant System and the Traveling Salesperson Problem

Overview of attention for article published in Frontiers in Robotics and AI, July 2015
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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26 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Analyzing the Effects of Instance Features and Algorithm Parameters for Max–Min Ant System and the Traveling Salesperson Problem
Published in
Frontiers in Robotics and AI, July 2015
DOI 10.3389/frobt.2015.00018
Authors

Samadhi Nallaperuma, Markus Wagner, Frank Neumann

Timeline

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X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 55%
Professor > Associate Professor 1 9%
Lecturer 1 9%
Student > Doctoral Student 1 9%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 6 55%
Business, Management and Accounting 1 9%
Engineering 1 9%
Unknown 3 27%
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 12 August 2015.
All research outputs
#15,340,005
of 22,817,213 outputs
Outputs from Frontiers in Robotics and AI
#1,037
of 1,492 outputs
Outputs of similar age
#154,356
of 264,028 outputs
Outputs of similar age from Frontiers in Robotics and AI
#6
of 7 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,492 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 23rd percentile – i.e., 23% 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 264,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.