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Local Criteria for Non-Embeddability of Levi-Flat Manifolds

Overview of attention for article published in Journal of Geometric Analysis, April 2017
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Title
Local Criteria for Non-Embeddability of Levi-Flat Manifolds
Published in
Journal of Geometric Analysis, April 2017
DOI 10.1007/s12220-017-9853-9
Authors

Takayuki Koike, Noboru Ogawa

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 01 April 2016.
All research outputs
#5,656,089
of 7,474,500 outputs
Outputs from Journal of Geometric Analysis
#223,625
of 418,340 outputs
Outputs of similar age
#191,630
of 272,638 outputs
Outputs of similar age from Journal of Geometric Analysis
#16,572
of 25,526 outputs
Altmetric has tracked 7,474,500 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 418,340 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 272,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25,526 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.