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Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm

Overview of attention for article published in Knowledge and Information Systems, September 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Readers on

mendeley
120 Mendeley
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Title
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm
Published in
Knowledge and Information Systems, September 2015
DOI 10.1007/s10115-015-0878-8
Authors

François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn Keogh

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 119 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 24%
Student > Master 21 18%
Researcher 19 16%
Student > Bachelor 12 10%
Student > Doctoral Student 6 5%
Other 17 14%
Unknown 16 13%
Readers by discipline Count As %
Computer Science 55 46%
Engineering 16 13%
Agricultural and Biological Sciences 5 4%
Unspecified 4 3%
Mathematics 3 3%
Other 15 13%
Unknown 22 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 September 2015.
All research outputs
#14,405,036
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#237
of 614 outputs
Outputs of similar age
#137,259
of 276,792 outputs
Outputs of similar age from Knowledge and Information Systems
#5
of 6 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% 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 59% 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 276,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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.