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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Arm’s scalable vector extension on stencil codes
|
|---|---|
| Published in |
The Journal of Supercomputing, April 2019
|
| DOI | 10.1007/s11227-019-02842-5 |
| Authors |
Adrià Armejach, Helena Caminal, Juan M. Cebrian, Rubén Langarita, Rekai González-Alberquilla, Chris Adeniyi-Jones, Mateo Valero, Marc Casas, Miquel Moretó |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Student > Bachelor | 1 | 14% |
| Other | 1 | 14% |
| Student > Master | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 43% |
| Engineering | 2 | 29% |
| Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 September 2020.
All research outputs
#13,756,585
of 24,226,848 outputs
Outputs from The Journal of Supercomputing
#305
of 555 outputs
Outputs of similar age
#169,223
of 357,090 outputs
Outputs of similar age from The Journal of Supercomputing
#9
of 14 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 555 research outputs from this source. They receive a mean Attention Score of 2.9. 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 357,090 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.