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The extension problem of the mean curvature flow (I)

Overview of attention for article published in Inventiones mathematicae, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 1,125)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
2 news outlets

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
7 Mendeley
Title
The extension problem of the mean curvature flow (I)
Published in
Inventiones mathematicae, June 2019
DOI 10.1007/s00222-019-00893-2
Authors

Haozhao Li, Bing Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Professor > Associate Professor 1 14%
Professor 1 14%
Unknown 3 43%
Readers by discipline Count As %
Mathematics 3 43%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 23 November 2020.
All research outputs
#2,486,984
of 25,385,509 outputs
Outputs from Inventiones mathematicae
#26
of 1,125 outputs
Outputs of similar age
#51,808
of 365,200 outputs
Outputs of similar age from Inventiones mathematicae
#1
of 9 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,125 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 365,200 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 9 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