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Convergence study of the h-adaptive PUM and the hp-adaptive FEM applied to eigenvalue problems in quantum mechanics

Overview of attention for article published in Advanced Modeling and Simulation in Engineering Sciences, December 2017
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2 X users
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1 Facebook page

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13 Mendeley
Title
Convergence study of the h-adaptive PUM and the hp-adaptive FEM applied to eigenvalue problems in quantum mechanics
Published in
Advanced Modeling and Simulation in Engineering Sciences, December 2017
DOI 10.1186/s40323-017-0093-0
Pubmed ID
Authors

Denis Davydov, Tymofiy Gerasimov, Jean-Paul Pelteret, Paul Steinmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Professor 2 15%
Student > Master 1 8%
Unknown 6 46%
Readers by discipline Count As %
Engineering 2 15%
Physics and Astronomy 1 8%
Mathematics 1 8%
Chemistry 1 8%
Earth and Planetary Sciences 1 8%
Other 0 0%
Unknown 7 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 February 2018.
All research outputs
#14,307,135
of 23,011,300 outputs
Outputs from Advanced Modeling and Simulation in Engineering Sciences
#16
of 61 outputs
Outputs of similar age
#235,666
of 439,142 outputs
Outputs of similar age from Advanced Modeling and Simulation in Engineering Sciences
#1
of 4 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 73% 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 439,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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