↓ Skip to main content

Experimental comparison of representation methods and distance measures for time series data

Overview of attention for article published in Data Mining and Knowledge Discovery, February 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
1 X user
googleplus
4 Google+ users

Citations

dimensions_citation
620 Dimensions

Readers on

mendeley
572 Mendeley
citeulike
6 CiteULike
Title
Experimental comparison of representation methods and distance measures for time series data
Published in
Data Mining and Knowledge Discovery, February 2012
DOI 10.1007/s10618-012-0250-5
Authors

Xiaoyue Wang, Abdullah Mueen, Hui Ding, Goce Trajcevski, Peter Scheuermann, Eamonn Keogh

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 572 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 <1%
China 3 <1%
Malaysia 3 <1%
United Kingdom 3 <1%
France 2 <1%
Italy 2 <1%
United States 2 <1%
Germany 2 <1%
Australia 2 <1%
Other 7 1%
Unknown 543 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 163 28%
Student > Master 100 17%
Researcher 65 11%
Student > Bachelor 40 7%
Student > Doctoral Student 33 6%
Other 79 14%
Unknown 92 16%
Readers by discipline Count As %
Computer Science 244 43%
Engineering 88 15%
Agricultural and Biological Sciences 15 3%
Earth and Planetary Sciences 15 3%
Mathematics 14 2%
Other 75 13%
Unknown 121 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 January 2013.
All research outputs
#6,528,558
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#109
of 546 outputs
Outputs of similar age
#58,046
of 254,087 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#1
of 9 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 79% 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 254,087 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
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 all of them