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Heuristic methods for evolutionary computation techniques

Overview of attention for article published in Journal of Heuristics, March 1996
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About this Attention Score

  • Among the highest-scoring outputs from this source (#17 of 118)

Mentioned by

patent
1 patent

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
42 Mendeley
Title
Heuristic methods for evolutionary computation techniques
Published in
Journal of Heuristics, March 1996
DOI 10.1007/bf00127077
Authors

Zbigniew Michalewicz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 5%
Cyprus 1 2%
Malaysia 1 2%
Unknown 38 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 33%
Student > Master 8 19%
Researcher 6 14%
Student > Bachelor 3 7%
Professor > Associate Professor 3 7%
Other 3 7%
Unknown 5 12%
Readers by discipline Count As %
Computer Science 19 45%
Engineering 10 24%
Environmental Science 2 5%
Business, Management and Accounting 2 5%
Economics, Econometrics and Finance 1 2%
Other 3 7%
Unknown 5 12%
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 02 May 2013.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Journal of Heuristics
#17
of 118 outputs
Outputs of similar age
#8,246
of 25,999 outputs
Outputs of similar age from Journal of Heuristics
#1
of 1 outputs
Altmetric has tracked 25,373,627 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 118 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 55% 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 25,999 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% 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