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Mendeley readers
Attention Score in Context
| Chapter title |
Solving Software Challenges for Exascale
|
|---|---|
| Chapter number | 1 |
| Book title |
Solving Software Challenges for Exascale
|
| Published in |
Lecture notes in computer science, February 2015
|
| DOI | 10.1007/978-3-319-15976-8_1 |
| Book ISBNs |
978-3-31-915975-1, 978-3-31-915976-8
|
| Authors |
Stefano Markidis, Erwin Laure, Szilárd Páll, Mark James Abraham, Carsten Kutzner, Berk Hess, Erik Lindahl, Páll, Szilárd, Abraham, Mark James, Kutzner, Carsten, Hess, Berk, Lindahl, Erik, Páll Szilárd |
| Editors |
Markidis, Stefano, Laure, Erwin |
Mendeley readers
The data shown below were compiled from readership statistics for 640 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Chile | 1 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| Czechia | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 631 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 133 | 21% |
| Researcher | 95 | 15% |
| Student > Master | 80 | 13% |
| Student > Bachelor | 74 | 12% |
| Student > Doctoral Student | 48 | 8% |
| Other | 81 | 13% |
| Unknown | 129 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 146 | 23% |
| Biochemistry, Genetics and Molecular Biology | 109 | 17% |
| Agricultural and Biological Sciences | 47 | 7% |
| Physics and Astronomy | 33 | 5% |
| Computer Science | 28 | 4% |
| Other | 106 | 17% |
| Unknown | 171 | 27% |
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 20 November 2020.
All research outputs
#6,226,155
of 24,226,848 outputs
Outputs from Lecture notes in computer science
#1,896
of 8,180 outputs
Outputs of similar age
#66,420
of 259,207 outputs
Outputs of similar age from Lecture notes in computer science
#6
of 52 outputs
Altmetric has tracked 24,226,848 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 8,180 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 76% 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 259,207 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 74% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.