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Cooperative co-evolution for feature selection in Big Data with random feature grouping

Overview of attention for article published in Journal of Big Data, December 2020
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Mentioned by

twitter
1 tweeter

Citations

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4 Dimensions

Readers on

mendeley
5 Mendeley
Title
Cooperative co-evolution for feature selection in Big Data with random feature grouping
Published in
Journal of Big Data, December 2020
DOI 10.1186/s40537-020-00381-y
Authors

A. N. M. Bazlur Rashid, Mohiuddin Ahmed, Leslie F. Sikos, Paul Haskell-Dowland

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Lecturer 1 20%
Student > Doctoral Student 1 20%
Lecturer > Senior Lecturer 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Agricultural and Biological Sciences 1 20%

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 05 December 2020.
All research outputs
#14,266,557
of 17,873,421 outputs
Outputs from Journal of Big Data
#196
of 268 outputs
Outputs of similar age
#307,499
of 414,937 outputs
Outputs of similar age from Journal of Big Data
#31
of 57 outputs
Altmetric has tracked 17,873,421 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 3rd percentile – i.e., 3% 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 414,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.