| Title |
A hierarchical non-intrusive algorithm for the generalized finite element method
|
|---|---|
| Published in |
Advanced Modeling and Simulation in Engineering Sciences, February 2018
|
| DOI | 10.1186/s40323-018-0096-5 |
| Authors |
Travis B. Fillmore, C. Armando Duarte |
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 % |
|---|---|---|
| United Kingdom | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Ph. D. Student | 3 | 19% |
| Student > Doctoral Student | 2 | 13% |
| Professor | 2 | 13% |
| Student > Master | 2 | 13% |
| Other | 3 | 19% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 69% |
| Arts and Humanities | 1 | 6% |
| Social Sciences | 1 | 6% |
| Environmental Science | 1 | 6% |
| Unknown | 2 | 13% |
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 04 May 2018.
All research outputs
#14,376,243
of 23,023,224 outputs
Outputs from Advanced Modeling and Simulation in Engineering Sciences
#17
of 61 outputs
Outputs of similar age
#243,919
of 445,207 outputs
Outputs of similar age from Advanced Modeling and Simulation in Engineering Sciences
#1
of 4 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 68% 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 445,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% 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