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Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)

Overview of attention for article published in Knowledge and Information Systems, December 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
39 Mendeley
Title
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)
Published in
Knowledge and Information Systems, December 2017
DOI 10.1007/s10115-017-1137-y
Authors

Viktor Losing, Barbara Hammer, Heiko Wersing

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 14 36%
Student > Master 7 18%
Researcher 4 10%
Student > Bachelor 2 5%
Professor 1 3%
Other 2 5%
Unknown 9 23%
Readers by discipline Count As %
Computer Science 20 51%
Biochemistry, Genetics and Molecular Biology 2 5%
Mathematics 1 3%
Earth and Planetary Sciences 1 3%
Decision Sciences 1 3%
Other 3 8%
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 14 January 2018.
All research outputs
#7,866,480
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#76
of 614 outputs
Outputs of similar age
#152,717
of 442,337 outputs
Outputs of similar age from Knowledge and Information Systems
#4
of 6 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 65% 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 442,337 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 54% of its contemporaries.
We're also able to compare this research output to 6 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.