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Towards large genus asymptotics of intersection numbers on moduli spaces of curves

Overview of attention for article published in Geometric and Functional Analysis, August 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#36 of 178)
  • Good Attention Score compared to outputs of the same age (67th percentile)

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Citations

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Readers on

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11 Mendeley
Title
Towards large genus asymptotics of intersection numbers on moduli spaces of curves
Published in
Geometric and Functional Analysis, August 2015
DOI 10.1007/s00039-015-0336-5
Authors

Maryam Mirzakhani, Peter Zograf

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Postgraduate 2 18%
Student > Bachelor 1 9%
Researcher 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Mathematics 6 55%
Physics and Astronomy 2 18%
Computer Science 1 9%
Unknown 2 18%
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 17 July 2017.
All research outputs
#7,588,227
of 23,794,258 outputs
Outputs from Geometric and Functional Analysis
#36
of 178 outputs
Outputs of similar age
#86,507
of 265,762 outputs
Outputs of similar age from Geometric and Functional Analysis
#1
of 3 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 178 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 79% 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 265,762 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 67% of its contemporaries.
We're also able to compare this research output to 3 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