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Sliding Windows and Persistence: An Application of Topological Methods to Signal Analysis

Overview of attention for article published in Foundations of Computational Mathematics, May 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 231)
  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
191 Dimensions

Readers on

mendeley
189 Mendeley
Title
Sliding Windows and Persistence: An Application of Topological Methods to Signal Analysis
Published in
Foundations of Computational Mathematics, May 2014
DOI 10.1007/s10208-014-9206-z
Authors

Jose A. Perea, John Harer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 3 2%
United States 3 2%
Japan 2 1%
United Kingdom 1 <1%
Germany 1 <1%
Netherlands 1 <1%
Turkey 1 <1%
Unknown 177 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 25%
Researcher 34 18%
Student > Master 21 11%
Student > Bachelor 11 6%
Other 9 5%
Other 30 16%
Unknown 36 19%
Readers by discipline Count As %
Mathematics 51 27%
Computer Science 27 14%
Engineering 23 12%
Physics and Astronomy 14 7%
Biochemistry, Genetics and Molecular Biology 6 3%
Other 22 12%
Unknown 46 24%
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 23 September 2020.
All research outputs
#7,468,426
of 22,831,537 outputs
Outputs from Foundations of Computational Mathematics
#35
of 231 outputs
Outputs of similar age
#73,373
of 226,672 outputs
Outputs of similar age from Foundations of Computational Mathematics
#2
of 2 outputs
Altmetric has tracked 22,831,537 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 231 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 74% 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 226,672 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 2 others from the same source and published within six weeks on either side of this one.