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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Orchestration of materials science workflows for heterogeneous resources at large scale
|
|---|---|
| Published in |
The International Journal of High Performance Computing Applications, April 2023
|
| DOI | 10.1177/10943420231167800 |
| Authors |
Naweiluo Zhou, Giorgio Scorzelli, Jakob Luettgau, Rahul R Kancharla, Joshua J Kane, Robert Wheeler, Brendan P Croom, Pania Newell, Valerio Pascucci, Michela Taufer |
X Demographics
The data shown below were collected from the profiles of 7 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 | 6 | 86% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 33% |
| Unknown | 2 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 1 | 33% |
| Unknown | 2 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 31 July 2023.
All research outputs
#5,852,365
of 24,169,085 outputs
Outputs from The International Journal of High Performance Computing Applications
#35
of 191 outputs
Outputs of similar age
#98,929
of 398,296 outputs
Outputs of similar age from The International Journal of High Performance Computing Applications
#1
of 5 outputs
Altmetric has tracked 24,169,085 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 191 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% 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 398,296 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them