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Characterizing concept drift

Overview of attention for article published in Data Mining and Knowledge Discovery, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 546)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
9 X users
patent
1 patent

Citations

dimensions_citation
310 Dimensions

Readers on

mendeley
321 Mendeley
citeulike
1 CiteULike
Title
Characterizing concept drift
Published in
Data Mining and Knowledge Discovery, April 2016
DOI 10.1007/s10618-015-0448-4
Authors

Geoffrey I. Webb, Roy Hyde, Hong Cao, Hai Long Nguyen, Francois Petitjean

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Italy 1 <1%
Brazil 1 <1%
Unknown 318 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 75 23%
Student > Master 59 18%
Researcher 33 10%
Student > Bachelor 17 5%
Professor > Associate Professor 14 4%
Other 43 13%
Unknown 80 25%
Readers by discipline Count As %
Computer Science 147 46%
Engineering 42 13%
Business, Management and Accounting 8 2%
Physics and Astronomy 4 1%
Biochemistry, Genetics and Molecular Biology 4 1%
Other 25 8%
Unknown 91 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 13 July 2022.
All research outputs
#1,316,920
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#7
of 546 outputs
Outputs of similar age
#23,098
of 302,267 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#1
of 7 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% 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 302,267 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% 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 all of them