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Metaheuristics for data mining

Overview of attention for article published in 4OR, April 2019
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
19 Mendeley
Title
Metaheuristics for data mining
Published in
4OR, April 2019
DOI 10.1007/s10288-019-00402-4
Authors

Clarisse Dhaenens, Laetitia Jourdan

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Master 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 8 42%
Readers by discipline Count As %
Computer Science 7 37%
Nursing and Health Professions 1 5%
Immunology and Microbiology 1 5%
Engineering 1 5%
Unknown 9 47%
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 21 May 2019.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from 4OR
#53
of 70 outputs
Outputs of similar age
#305,101
of 353,974 outputs
Outputs of similar age from 4OR
#1
of 1 outputs
Altmetric has tracked 23,849,058 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 70 research outputs from this source. They receive a mean Attention Score of 2.6. 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 353,974 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 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