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A Fixed Mesh Method with Immersed Finite Elements for Solving Interface Inverse Problems

Overview of attention for article published in Journal of Scientific Computing, October 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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17 Dimensions

Readers on

mendeley
10 Mendeley
Title
A Fixed Mesh Method with Immersed Finite Elements for Solving Interface Inverse Problems
Published in
Journal of Scientific Computing, October 2018
DOI 10.1007/s10915-018-0847-y
Authors

Ruchi Guo, Tao Lin, Yanping Lin

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 %
Researcher 2 20%
Professor > Associate Professor 2 20%
Professor 1 10%
Student > Ph. D. Student 1 10%
Unknown 4 40%
Readers by discipline Count As %
Mathematics 2 20%
Engineering 2 20%
Unknown 6 60%
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 May 2018.
All research outputs
#18,575,287
of 23,852,579 outputs
Outputs from Journal of Scientific Computing
#250
of 862 outputs
Outputs of similar age
#250,717
of 348,853 outputs
Outputs of similar age from Journal of Scientific Computing
#5
of 6 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 862 research outputs from this source. They receive a mean Attention Score of 0.7. This one has gotten more attention than average, scoring higher than 69% 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 348,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.