↓ Skip to main content

Transactions on Large-Scale Data- and Knowledge-Centered Systems L

Overview of attention for book
Transactions on Large-Scale Data- and Knowledge-Centered Systems L
Springer Berlin Heidelberg
Attention for Chapter: Towards Symbolic Time Series Representation Improved by Kernel Density Estimators
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
2 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Towards Symbolic Time Series Representation Improved by Kernel Density Estimators
Book title
Transactions on Large-Scale Data- and Knowledge-Centered Systems L
Published in
arXiv, January 2022
DOI 10.1007/978-3-662-64553-6_2
Book ISBNs
978-3-66-264552-9, 978-3-66-264553-6
Authors

Matej Kloska, Viera Rozinajova, Kloska, Matej, Rozinajova, Viera

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Medicine and Dentistry 1 50%
Unknown 1 50%
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 29 May 2022.
All research outputs
#15,186,733
of 25,791,495 outputs
Outputs from arXiv
#200,447
of 945,001 outputs
Outputs of similar age
#234,109
of 519,977 outputs
Outputs of similar age from arXiv
#5,345
of 26,052 outputs
Altmetric has tracked 25,791,495 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 945,001 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 77% 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 519,977 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 54% of its contemporaries.
We're also able to compare this research output to 26,052 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.