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A survey of methods for time series change point detection

Overview of attention for article published in Knowledge and Information Systems, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 795)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
14 X users
patent
25 patents
reddit
2 Redditors
q&a
5 Q&A threads

Readers on

mendeley
1432 Mendeley
citeulike
2 CiteULike
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Article details
Title
A survey of methods for time series change point detection
Published in
Knowledge and Information Systems, September 2016
DOI 10.1007/s10115-016-0987-z
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,432 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 %
New Caledonia 1 <1%
Brazil 1 <1%
Unknown 1430 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 281 20%
Researcher 191 13%
Student > Master 187 13%
Student > Doctoral Student 69 5%
Student > Bachelor 65 5%
Other 193 13%
Unknown 446 31%
Readers by discipline
Readers by discipline Count As %
Computer Science 321 22%
Engineering 214 15%
Mathematics 73 5%
Agricultural and Biological Sciences 46 3%
Earth and Planetary Sciences 39 3%
Other 225 16%
Unknown 514 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 August 2026.
All research outputs
#1,145,830
of 32,807,861 outputs
Outputs from Knowledge and Information Systems
#6
of 795 outputs
Outputs of similar age
#15,510
of 328,350 outputs
Outputs of similar age from Knowledge and Information Systems
#1
of 12 outputs
Altmetric has tracked 32,807,861 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 795 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 99% 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 328,350 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.