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Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets

Overview of attention for article published in Expert Systems with Applications, September 2024
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  • High Attention Score compared to outputs of the same age and source (98th percentile)

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Title
Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets
Published in
Expert Systems with Applications, September 2024
DOI 10.1016/j.eswa.2024.123521
Authors

Hossein Nematzadeh, José García-Nieto, José F. Aldana-Montes, Ismael Navas-Delgado

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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 07 March 2024.
All research outputs
#8,572,390
of 25,462,162 outputs
Outputs from Expert Systems with Applications
#688
of 4,242 outputs
Outputs of similar age
#424
of 580 outputs
Outputs of similar age from Expert Systems with Applications
#2
of 52 outputs
Altmetric has tracked 25,462,162 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 4,242 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 64% 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 580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.