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ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows

Overview of attention for article published in Data Mining and Knowledge Discovery, August 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Readers on

mendeley
27 Mendeley
citeulike
1 CiteULike
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Article details
Title
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows
Published in
Data Mining and Knowledge Discovery, August 2018
DOI 10.1007/s10618-018-0580-z
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Researcher 5 19%
Student > Master 4 15%
Professor > Associate Professor 3 11%
Lecturer > Senior Lecturer 2 7%
Other 4 15%
Unknown 2 7%
Readers by discipline
Readers by discipline Count As %
Computer Science 13 48%
Engineering 4 15%
Biochemistry, Genetics and Molecular Biology 2 7%
Mathematics 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 5 19%
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 25 June 2024.
All research outputs
#9,008,659
of 26,567,854 outputs
Outputs from Data Mining and Knowledge Discovery
#185
of 698 outputs
Outputs of similar age
#138,346
of 344,833 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#3
of 6 outputs
Altmetric has tracked 26,567,854 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 698 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 60% 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 344,833 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 51% of its contemporaries.
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. This one has scored higher than 3 of them.