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Characteristic-Based Clustering for Time Series Data

Overview of attention for article published in Data Mining and Knowledge Discovery, May 2006
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Mentioned by

patent
38 patents

Citations

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456 Dimensions

Readers on

mendeley
641 Mendeley
citeulike
5 CiteULike
Title
Characteristic-Based Clustering for Time Series Data
Published in
Data Mining and Knowledge Discovery, May 2006
DOI 10.1007/s10618-005-0039-x
Authors

Xiaozhe Wang, Kate Smith, Rob Hyndman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 641 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 <1%
Switzerland 3 <1%
Malaysia 3 <1%
Canada 3 <1%
Australia 2 <1%
United States 2 <1%
Russia 2 <1%
China 2 <1%
Brazil 2 <1%
Other 13 2%
Unknown 606 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 142 22%
Student > Master 135 21%
Researcher 78 12%
Student > Bachelor 57 9%
Student > Doctoral Student 32 5%
Other 84 13%
Unknown 113 18%
Readers by discipline Count As %
Computer Science 153 24%
Engineering 114 18%
Mathematics 43 7%
Economics, Econometrics and Finance 28 4%
Business, Management and Accounting 26 4%
Other 129 20%
Unknown 148 23%
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 02 April 2024.
All research outputs
#7,917,073
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#156
of 546 outputs
Outputs of similar age
#23,901
of 67,360 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#6
of 9 outputs
Altmetric has tracked 23,854,458 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 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 56% 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 67,360 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.