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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Cut Finite Element Methods for Linear Elasticity Problems
|
|---|---|
| Chapter number | 2 |
| Book title |
Geometrically Unfitted Finite Element Methods and Applications
|
| Published in |
arXiv, January 2017
|
| DOI | 10.1007/978-3-319-71431-8_2 |
| Book ISBNs |
978-3-31-971430-1, 978-3-31-971431-8
|
| Authors |
Peter Hansbo, Mats G. Larson, Karl Larsson, Hansbo, Peter, Larson, Mats G., Larsson, Karl |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 38 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 38% |
| Student > Doctoral Student | 4 | 10% |
| Professor > Associate Professor | 4 | 10% |
| Professor | 4 | 10% |
| Student > Master | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 41% |
| Mathematics | 13 | 33% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 15% |
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 14 March 2017.
All research outputs
#18,575,287
of 23,852,579 outputs
Outputs from arXiv
#459,025
of 990,619 outputs
Outputs of similar age
#298,903
of 425,078 outputs
Outputs of similar age from arXiv
#8,824
of 16,506 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 990,619 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 425,078 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16,506 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.