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Languages and Compilers for Parallel Computing

Overview of attention for book
Attention for Chapter 27: Polynomial Time Array Dataflow Analysis
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Mentioned by

wikipedia
1 Wikipedia page

Citations

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4 Dimensions

Readers on

mendeley
18 Mendeley
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Chapter title
Polynomial Time Array Dataflow Analysis
Chapter number 27
Book title
Languages and Compilers for Parallel Computing
Published in
Lecture notes in computer science, August 2001
DOI 10.1007/3-540-35767-x_27
Book ISBNs
978-3-54-004029-3, 978-3-54-035767-4
Authors

Robert Seater, David Wonnacott, Seater, Robert, Wonnacott, David

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 11%
Professor 1 6%
Unknown 15 83%
Readers by discipline Count As %
Computer Science 2 11%
Engineering 1 6%
Unknown 15 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 30 October 2021.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,126 outputs
Outputs of similar age
#12,669
of 38,330 outputs
Outputs of similar age from Lecture notes in computer science
#14
of 31 outputs
Altmetric has tracked 22,789,076 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 8,126 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 55% 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 38,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.