| Title |
Evaluating the performance of the particle finite element method in parallel architectures
|
|---|---|
| Published in |
Computational Particle Mechanics, April 2014
|
| DOI | 10.1007/s40571-014-0009-4 |
| Authors |
Juan M. Gimenez, Norberto M. Nigro, Sergio R. Idelsohn |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 27% |
| Student > Doctoral Student | 2 | 13% |
| Professor | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 67% |
| Unknown | 5 | 33% |
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 June 2014.
All research outputs
#15,301,754
of 22,757,090 outputs
Outputs from Computational Particle Mechanics
#78
of 292 outputs
Outputs of similar age
#119,918
of 203,745 outputs
Outputs of similar age from Computational Particle Mechanics
#3
of 10 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 292 research outputs from this source. They receive a mean Attention Score of 1.2. This one has gotten more attention than average, scoring higher than 64% 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 203,745 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.