↓ Skip to main content

Integrating memetic search into the BioHEL evolutionary learning system for large-scale datasets

Overview of attention for article published in Memetic Computing, February 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
12 Mendeley
Title
Integrating memetic search into the BioHEL evolutionary learning system for large-scale datasets
Published in
Memetic Computing, February 2013
DOI 10.1007/s12293-013-0108-4
Authors

Dan Andrei Calian, Jaume Bacardit

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 8%
China 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 42%
Lecturer > Senior Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Professor 1 8%
Other 3 25%
Readers by discipline Count As %
Computer Science 6 50%
Engineering 3 25%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2019.
All research outputs
#14,162,589
of 22,696,971 outputs
Outputs from Memetic Computing
#18
of 37 outputs
Outputs of similar age
#109,579
of 191,513 outputs
Outputs of similar age from Memetic Computing
#1
of 1 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37 research outputs from this source. They receive a mean Attention Score of 1.9. This one scored the same or higher as 19 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 191,513 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% 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