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Mendeley readers
Attention Score in Context
| Title |
Parallel sparse linear solver with GMRES method using minimization techniques of communications for GPU clusters
|
|---|---|
| Published in |
The Journal of Supercomputing, March 2014
|
| DOI | 10.1007/s11227-014-1143-8 |
| Authors |
Lilia Ziane Khodja, Raphaël Couturier, Arnaud Giersch, Jacques M. Bahi |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 10 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 25% |
| Professor | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Other | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 67% |
| Mathematics | 2 | 17% |
| Engineering | 1 | 8% |
| Unknown | 1 | 8% |
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 07 October 2014.
All research outputs
#21,415,544
of 23,911,072 outputs
Outputs from The Journal of Supercomputing
#488
of 543 outputs
Outputs of similar age
#195,636
of 224,527 outputs
Outputs of similar age from The Journal of Supercomputing
#13
of 16 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 224,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.