↓ Skip to main content

Computational method for phase space transport with applications to lobe dynamics and rate of escape

Overview of attention for article published in Regular and Chaotic Dynamics, June 2017
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#47 of 153)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
10 Mendeley
Title
Computational method for phase space transport with applications to lobe dynamics and rate of escape
Published in
Regular and Chaotic Dynamics, June 2017
DOI 10.1134/s1560354717030078
Authors

Shibabrat Naik, Francois Lekien, Shane D. Ross

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 20%
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Professor 1 10%
Researcher 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Engineering 6 60%
Physics and Astronomy 2 20%
Unknown 2 20%
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 08 November 2017.
All research outputs
#16,550,722
of 24,353,295 outputs
Outputs from Regular and Chaotic Dynamics
#47
of 153 outputs
Outputs of similar age
#204,303
of 321,136 outputs
Outputs of similar age from Regular and Chaotic Dynamics
#1
of 1 outputs
Altmetric has tracked 24,353,295 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 153 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 54% 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 321,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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