↓ Skip to main content

Non-separability of the Lipschitz distance

Overview of attention for article published in Pacific Journal of Mathematics for Industry, March 2015
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Non-separability of the Lipschitz distance
Published in
Pacific Journal of Mathematics for Industry, March 2015
DOI 10.1186/s40736-015-0013-5
Authors

Kohei Suzuki, Yohei Yamazaki

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 12 December 2014.
All research outputs
#11,535,468
of 14,546,539 outputs
Outputs from Pacific Journal of Mathematics for Industry
#5
of 7 outputs
Outputs of similar age
#202,094
of 299,505 outputs
Outputs of similar age from Pacific Journal of Mathematics for Industry
#1
of 2 outputs
Altmetric has tracked 14,546,539 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 2 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 299,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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