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Deep Learning for Time Series Anomaly Detection: A Survey

Overview of attention for article published in ACM Computing Surveys, August 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
114 Mendeley
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Title
Deep Learning for Time Series Anomaly Detection: A Survey
Published in
ACM Computing Surveys, August 2024
DOI 10.1145/3691338
Authors

Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu Aggarwal, Mahsa Salehi

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 11%
Student > Ph. D. Student 11 10%
Student > Master 8 7%
Other 3 3%
Student > Bachelor 3 3%
Other 7 6%
Unknown 70 61%
Readers by discipline Count As %
Computer Science 24 21%
Engineering 8 7%
Mathematics 3 3%
Business, Management and Accounting 1 <1%
Agricultural and Biological Sciences 1 <1%
Other 6 5%
Unknown 71 62%
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 10 September 2024.
All research outputs
#15,719,442
of 26,596,651 outputs
Outputs from ACM Computing Surveys
#1,121
of 1,468 outputs
Outputs of similar age
#59,537
of 162,702 outputs
Outputs of similar age from ACM Computing Surveys
#3
of 7 outputs
Altmetric has tracked 26,596,651 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,468 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 162,702 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 62% 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.