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Multidimensional Persistence and Noise

Overview of attention for article published in Foundations of Computational Mathematics, June 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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4 X users

Citations

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22 Dimensions

Readers on

mendeley
17 Mendeley
Title
Multidimensional Persistence and Noise
Published in
Foundations of Computational Mathematics, June 2016
DOI 10.1007/s10208-016-9323-y
Authors

Martina Scolamiero, Wojciech Chachólski, Anders Lundman, Ryan Ramanujam, Sebastian Öberg

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Researcher 3 18%
Student > Master 2 12%
Professor 1 6%
Student > Bachelor 1 6%
Other 1 6%
Unknown 2 12%
Readers by discipline Count As %
Mathematics 7 41%
Computer Science 4 24%
Biochemistry, Genetics and Molecular Biology 1 6%
Agricultural and Biological Sciences 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 May 2015.
All research outputs
#15,529,691
of 23,852,579 outputs
Outputs from Foundations of Computational Mathematics
#80
of 242 outputs
Outputs of similar age
#217,379
of 355,279 outputs
Outputs of similar age from Foundations of Computational Mathematics
#2
of 2 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 242 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 64% 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 355,279 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
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.