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A comprehensive comparison of metaheuristics for the repetition-free longest common subsequence problem

Overview of attention for article published in Journal of Heuristics, April 2017
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Citations

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9 Mendeley
Title
A comprehensive comparison of metaheuristics for the repetition-free longest common subsequence problem
Published in
Journal of Heuristics, April 2017
DOI 10.1007/s10732-017-9329-x
Authors

Christian Blum, Maria J. Blesa

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 33%
Student > Ph. D. Student 2 22%
Researcher 2 22%
Student > Master 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Readers by discipline Count As %
Computer Science 6 67%
Decision Sciences 2 22%
Engineering 1 11%
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 06 July 2018.
All research outputs
#20,525,274
of 23,094,276 outputs
Outputs from Journal of Heuristics
#98
of 106 outputs
Outputs of similar age
#270,103
of 309,845 outputs
Outputs of similar age from Journal of Heuristics
#4
of 4 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% 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 309,845 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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.