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Time series representation and similarity based on local autopatterns

Overview of attention for article published in Data Mining and Knowledge Discovery, July 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
125 Dimensions

Readers on

mendeley
123 Mendeley
citeulike
1 CiteULike
Title
Time series representation and similarity based on local autopatterns
Published in
Data Mining and Knowledge Discovery, July 2015
DOI 10.1007/s10618-015-0425-y
Authors

Mustafa Gokce Baydogan, George Runger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Unknown 122 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 33%
Student > Master 23 19%
Researcher 8 7%
Student > Doctoral Student 7 6%
Student > Bachelor 6 5%
Other 12 10%
Unknown 26 21%
Readers by discipline Count As %
Computer Science 58 47%
Engineering 26 21%
Mathematics 3 2%
Physics and Astronomy 2 2%
Linguistics 1 <1%
Other 5 4%
Unknown 28 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 21 June 2022.
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
#90,804
of 265,244 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#3
of 7 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 265,244 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 56% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.