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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers
|
---|---|
Chapter number | 47 |
Book title |
High Performance Computing
|
Published in |
arXiv, June 2018
|
DOI | 10.1007/978-3-030-02465-9_47 |
Book ISBNs |
978-3-03-002464-2, 978-3-03-002465-9
|
Authors |
Julia Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner, Mullen, Julia, Reuther, Albert, Arcand, William, Bergeron, Bill, Bestor, David, Byun, Chansup, Gadepally, Vijay, Houle, Michael, Hubbell, Matthew, Jones, Michael, Klein, Anna, Michaleas, Peter, Milechin, Lauren, Prout, Andrew, Rosa, Antonio, Samsi, Siddharth, Yee, Charles, Kepner, Jeremy |
X Demographics
The data shown below were collected from the profiles of 5 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 | 5 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 25% |
Student > Ph. D. Student | 1 | 13% |
Librarian | 1 | 13% |
Unknown | 4 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 1 | 13% |
Computer Science | 1 | 13% |
Social Sciences | 1 | 13% |
Chemistry | 1 | 13% |
Materials Science | 1 | 13% |
Other | 0 | 0% |
Unknown | 3 | 38% |
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 07 March 2019.
All research outputs
#14,178,047
of 24,226,848 outputs
Outputs from arXiv
#224,833
of 1,027,652 outputs
Outputs of similar age
#168,587
of 332,337 outputs
Outputs of similar age from arXiv
#6,235
of 24,354 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,027,652 research outputs from this source. They receive a mean Attention Score of 4.0. 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 332,337 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,354 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.