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A roadmap for the computation of persistent homology

Overview of attention for article published in EPJ Data Science, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
55 X users
patent
2 patents
facebook
5 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
466 Dimensions

Readers on

mendeley
455 Mendeley
Title
A roadmap for the computation of persistent homology
Published in
EPJ Data Science, August 2017
DOI 10.1140/epjds/s13688-017-0109-5
Pubmed ID
Authors

Nina Otter, Mason A Porter, Ulrike Tillmann, Peter Grindrod, Heather A Harrington

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 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 455 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Singapore 1 <1%
Slovenia 1 <1%
Poland 1 <1%
Unknown 448 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 100 22%
Researcher 71 16%
Student > Master 44 10%
Student > Bachelor 30 7%
Professor 21 5%
Other 83 18%
Unknown 106 23%
Readers by discipline Count As %
Mathematics 94 21%
Computer Science 71 16%
Physics and Astronomy 45 10%
Engineering 35 8%
Neuroscience 18 4%
Other 72 16%
Unknown 120 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 06 June 2024.
All research outputs
#841,162
of 26,090,071 outputs
Outputs from EPJ Data Science
#61
of 464 outputs
Outputs of similar age
#16,915
of 332,725 outputs
Outputs of similar age from EPJ Data Science
#6
of 11 outputs
Altmetric has tracked 26,090,071 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 464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.6. This one has done well, scoring higher than 86% 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 332,725 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 94% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.