| Title |
A taxonomy of task-based parallel programming technologies for high-performance computing
|
|---|---|
| Published in |
The Journal of Supercomputing, January 2018
|
| DOI | 10.1007/s11227-018-2238-4 |
| Authors |
Peter Thoman, Kiril Dichev, Thomas Heller, Roman Iakymchuk, Xavier Aguilar, Khalid Hasanov, Philipp Gschwandtner, Pierre Lemarinier, Stefano Markidis, Herbert Jordan, Thomas Fahringer, Kostas Katrinis, Erwin Laure, Dimitrios S. Nikolopoulos |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 19% |
| Student > Master | 12 | 15% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Doctoral Student | 4 | 5% |
| Lecturer | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 19 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 55% |
| Engineering | 7 | 9% |
| Physics and Astronomy | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 21 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 February 2024.
All research outputs
#6,520,312
of 24,313,168 outputs
Outputs from The Journal of Supercomputing
#91
of 549 outputs
Outputs of similar age
#125,376
of 451,565 outputs
Outputs of similar age from The Journal of Supercomputing
#4
of 11 outputs
Altmetric has tracked 24,313,168 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 83% 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 451,565 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 72% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.