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Applied Parallel Computing Large Scale Scientific and Industrial Problems

Overview of attention for book
Overall attention for this book and its chapters
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
4 Wikipedia pages

Readers on

mendeley
12 Mendeley
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Title
Applied Parallel Computing Large Scale Scientific and Industrial Problems
Published by
Lecture notes in computer science, January 1998
DOI 10.1007/bfb0095310
ISBNs
978-3-54-065414-8, 978-3-54-049261-0
Authors

Bo Kågström, Jack Dongarra, Erik Elmroth, Jerzy Waśniewski

Editors

Kågström, Bo, Dongarra, Jack, Elmroth, Erik, Waśniewski, Jerzy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Unknown 10 83%
Readers by discipline Count As %
Physics and Astronomy 2 17%
Unknown 10 83%
Attention Score in Context

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 10 November 2016.
All research outputs
#7,486,175
of 22,881,964 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,129 outputs
Outputs of similar age
#19,517
of 93,930 outputs
Outputs of similar age from Lecture notes in computer science
#10
of 29 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 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 54% 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 93,930 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.