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Very fast decision rules for classification in data streams

Overview of attention for article published in Data Mining and Knowledge Discovery, December 2013
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Mentioned by

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1 X user

Citations

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34 Dimensions

Readers on

mendeley
59 Mendeley
citeulike
1 CiteULike
Title
Very fast decision rules for classification in data streams
Published in
Data Mining and Knowledge Discovery, December 2013
DOI 10.1007/s10618-013-0340-z
Authors

Petr Kosina, João Gama

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 41%
Student > Master 9 15%
Other 4 7%
Student > Doctoral Student 3 5%
Researcher 3 5%
Other 8 14%
Unknown 8 14%
Readers by discipline Count As %
Computer Science 42 71%
Mathematics 2 3%
Engineering 2 3%
Business, Management and Accounting 1 2%
Psychology 1 2%
Other 1 2%
Unknown 10 17%
Attention Score in Context

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 21 April 2014.
All research outputs
#19,382,126
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#490
of 546 outputs
Outputs of similar age
#239,297
of 314,187 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#1
of 2 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 314,187 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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