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An Edge-Based Framework for Enumerating 3-Manifold Triangulations

Overview of attention for article published in LIPIcs : Leibniz International Proceedings in Informatics, August 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
4 X users
q&a
1 Q&A thread

Readers on

mendeley
3 Mendeley
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Title
An Edge-Based Framework for Enumerating 3-Manifold Triangulations
Published in
LIPIcs : Leibniz International Proceedings in Informatics, August 2016
DOI 10.4230/lipics.socg.2015.270
URN
urn:nbn:de:0030-drops-51485
Authors

Benjamin A. Burton, William Pettersson, Burton, Benjamin A., Pettersson, William

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Postgraduate 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Physics and Astronomy 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 February 2015.
All research outputs
#6,885,159
of 24,466,750 outputs
Outputs from LIPIcs : Leibniz International Proceedings in Informatics
#33
of 99 outputs
Outputs of similar age
#102,206
of 344,240 outputs
Outputs of similar age from LIPIcs : Leibniz International Proceedings in Informatics
#4
of 4 outputs
Altmetric has tracked 24,466,750 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 99 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 67% 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 344,240 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 69% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.