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EACD: evolutionary adaptation to concept drifts in data streams

Overview of attention for article published in Data Mining and Knowledge Discovery, February 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
39 Mendeley
Title
EACD: evolutionary adaptation to concept drifts in data streams
Published in
Data Mining and Knowledge Discovery, February 2019
DOI 10.1007/s10618-019-00614-6
Authors

Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 44%
Lecturer 2 5%
Student > Doctoral Student 2 5%
Student > Master 2 5%
Professor > Associate Professor 2 5%
Other 4 10%
Unknown 10 26%
Readers by discipline Count As %
Computer Science 25 64%
Biochemistry, Genetics and Molecular Biology 1 3%
Energy 1 3%
Engineering 1 3%
Unknown 11 28%
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 18 December 2023.
All research outputs
#14,059,138
of 25,016,456 outputs
Outputs from Data Mining and Knowledge Discovery
#256
of 606 outputs
Outputs of similar age
#214,210
of 459,118 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#5
of 7 outputs
Altmetric has tracked 25,016,456 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 606 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 57% 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 459,118 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.