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Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge

Overview of attention for article published in Applied Network Science, August 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
35 Mendeley
Title
Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge
Published in
Applied Network Science, August 2018
DOI 10.1007/s41109-018-0074-3
Pubmed ID
Authors

Vsevolod Salnikov, Daniele Cassese, Renaud Lambiotte, Nick S. Jones

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Researcher 5 14%
Student > Bachelor 3 9%
Other 3 9%
Professor 2 6%
Other 8 23%
Unknown 8 23%
Readers by discipline Count As %
Mathematics 7 20%
Physics and Astronomy 4 11%
Social Sciences 3 9%
Computer Science 2 6%
Philosophy 2 6%
Other 3 9%
Unknown 14 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 August 2018.
All research outputs
#7,196,957
of 23,760,369 outputs
Outputs from Applied Network Science
#195
of 518 outputs
Outputs of similar age
#121,794
of 335,989 outputs
Outputs of similar age from Applied Network Science
#14
of 25 outputs
Altmetric has tracked 23,760,369 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 518 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 62% 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 335,989 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 63% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.