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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Achieving Efficient Strong Scaling with PETSc Using Hybrid MPI/OpenMP Optimisation
|
---|---|
Chapter number | 8 |
Book title |
Supercomputing
|
Published in |
arXiv, June 2013
|
DOI | 10.1007/978-3-642-38750-0_8 |
Book ISBNs |
978-3-64-238749-4, 978-3-64-238750-0
|
Authors |
Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, James Southern, Michele Weiland, Lange, M, Gorman, G, Weiland, M, Mitchell, L, Southern, J, Lange, Michael, Gorman, Gerard, Weiland, Michèle, Mitchell, Lawrence, Southern, James |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 4% |
China | 1 | 4% |
Germany | 1 | 4% |
Unknown | 23 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 50% |
Researcher | 5 | 19% |
Lecturer | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 1 | 4% |
Other | 4 | 15% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 12 | 46% |
Computer Science | 5 | 19% |
Physics and Astronomy | 3 | 12% |
Earth and Planetary Sciences | 2 | 8% |
Environmental Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 2 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 March 2013.
All research outputs
#13,683,716
of 22,701,287 outputs
Outputs from arXiv
#247,492
of 930,877 outputs
Outputs of similar age
#96,694
of 178,113 outputs
Outputs of similar age from arXiv
#1,067
of 8,128 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 930,877 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 73% 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 178,113 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8,128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.