| Title |
Comparison between pure MPI and hybrid MPI-OpenMP parallelism for Discrete Element Method (DEM) of ellipsoidal and poly-ellipsoidal particles
|
|---|---|
| Published in |
Computational Particle Mechanics, November 2018
|
| DOI | 10.1007/s40571-018-0213-8 |
| Authors |
Beichuan Yan, Richard A. Regueiro |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 29% |
| Student > Master | 3 | 18% |
| Other | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 41% |
| Computer Science | 3 | 18% |
| Materials Science | 2 | 12% |
| Unknown | 5 | 29% |
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 November 2018.
All research outputs
#20,540,789
of 23,112,054 outputs
Outputs from Computational Particle Mechanics
#180
of 293 outputs
Outputs of similar age
#299,484
of 343,790 outputs
Outputs of similar age from Computational Particle Mechanics
#2
of 10 outputs
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So far Altmetric has tracked 293 research outputs from this source. They receive a mean Attention Score of 1.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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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 8 of them.