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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Overview of attention for book
Overall attention for this book and its chapters
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  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
36 Mendeley
citeulike
1 CiteULike
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Title
Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Published by
Intelligent Systems Reference Library, January 2014
DOI 10.1007/978-3-642-40179-4
ISBNs
978-3-64-240179-4, 978-3-64-240178-7
Authors

Camelia-Mihaela Pintea, Pintea, Camelia-Mihaela

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 31%
Student > Ph. D. Student 8 22%
Student > Doctoral Student 4 11%
Lecturer 2 6%
Other 2 6%
Other 5 14%
Unknown 4 11%
Readers by discipline Count As %
Computer Science 17 47%
Engineering 5 14%
Mathematics 2 6%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 7 19%
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 16 October 2022.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Intelligent Systems Reference Library
#1
of 1 outputs
Outputs of similar age
#97,918
of 321,848 outputs
Outputs of similar age from Intelligent Systems Reference Library
#1
of 1 outputs
Altmetric has tracked 25,992,468 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 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
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 321,848 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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