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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 (64th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
11 Mendeley
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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
Authors

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

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Ph. D. Student 3 27%
Professor 1 9%
Student > Bachelor 1 9%
Student > Doctoral Student 1 9%
Other 2 18%
Readers by discipline Count As %
Mathematics 3 27%
Social Sciences 2 18%
Physics and Astronomy 2 18%
Computer Science 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Other 0 0%
Unknown 2 18%

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
#4,470,054
of 15,500,532 outputs
Outputs from Applied Network Science
#120
of 251 outputs
Outputs of similar age
#97,822
of 275,827 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 15,500,532 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 51% 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 275,827 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 64% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them