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A family of parameter-dependent diffeomorphisms acting on function spaces over a Riemannian manifold and applications to geometric flows

Overview of attention for article published in Nonlinear Differential Equations and Applications NoDEA, April 2014
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1 X user

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Title
A family of parameter-dependent diffeomorphisms acting on function spaces over a Riemannian manifold and applications to geometric flows
Published in
Nonlinear Differential Equations and Applications NoDEA, April 2014
DOI 10.1007/s00030-014-0275-0
Authors

Yuanzhen Shao

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X Demographics

The data shown below were collected from the profile of 1 X user 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%
Researcher 1 33%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Mathematics 2 67%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 September 2013.
All research outputs
#21,141,111
of 23,794,258 outputs
Outputs from Nonlinear Differential Equations and Applications NoDEA
#38
of 44 outputs
Outputs of similar age
#195,716
of 229,009 outputs
Outputs of similar age from Nonlinear Differential Equations and Applications NoDEA
#2
of 3 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 44 research outputs from this source. They receive a mean Attention Score of 0.9. This one scored the same or higher as 6 of them.
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 229,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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.