| Title |
Cut finite element methods for coupled bulk–surface problems
|
|---|---|
| Published in |
Numerische Mathematik, July 2015
|
| DOI | 10.1007/s00211-015-0744-3 |
| Authors |
Erik Burman, Peter Hansbo, Mats G. Larson, Sara Zahedi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Brazil | 1 | 4% |
| Unknown | 21 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 30% |
| Professor | 4 | 17% |
| Researcher | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 39% |
| Mathematics | 6 | 26% |
| Environmental Science | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 22% |
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 09 August 2016.
All research outputs
#20,337,210
of 22,882,389 outputs
Outputs from Numerische Mathematik
#240
of 289 outputs
Outputs of similar age
#218,926
of 262,304 outputs
Outputs of similar age from Numerische Mathematik
#8
of 8 outputs
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So far Altmetric has tracked 289 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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