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Mendeley readers
Attention Score in Context
Chapter title |
A Parallel Algebraic Multigrid Solver on Graphics Processing Units
|
---|---|
Chapter number | 5 |
Book title |
High Performance Computing and Applications
|
Published in |
Lecture notes in computer science, October 2015
|
DOI | 10.1007/978-3-642-11842-5_5 |
Book ISBNs |
978-3-64-211841-8, 978-3-64-211842-5
|
Authors |
Gundolf Haase, Manfred Liebmann, Craig C. Douglas, Gernot Plank, Wu Zhang, Zhangxin Chen, Weiqin Tong |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 2% |
Austria | 1 | 2% |
United Kingdom | 1 | 2% |
China | 1 | 2% |
Spain | 1 | 2% |
United States | 1 | 2% |
Unknown | 35 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 39% |
Researcher | 8 | 20% |
Professor | 5 | 12% |
Student > Master | 3 | 7% |
Student > Doctoral Student | 3 | 7% |
Other | 5 | 12% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 37% |
Engineering | 10 | 24% |
Mathematics | 8 | 20% |
Physics and Astronomy | 2 | 5% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 1 | 2% |
Unknown | 4 | 10% |
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 30 November 2011.
All research outputs
#12,936,730
of 22,829,683 outputs
Outputs from Lecture notes in computer science
#3,776
of 8,126 outputs
Outputs of similar age
#122,142
of 275,403 outputs
Outputs of similar age from Lecture notes in computer science
#65
of 151 outputs
Altmetric has tracked 22,829,683 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 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% 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 275,403 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 54% of its contemporaries.
We're also able to compare this research output to 151 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 56% of its contemporaries.