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An Introduction to the Numerical Analysis of Spectral Methods

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Overall attention for this book and its chapters
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Title
An Introduction to the Numerical Analysis of Spectral Methods
Published by
ADS, January 1989
DOI 10.1007/bfb0020591
ISBNs
978-3-54-051106-9, 978-3-54-046158-6, 978-3-66-213757-4
Authors

Bertrand Mercier, Mercier, Bertrand

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 May 2016.
All research outputs
#8,432,438
of 13,452,785 outputs
Outputs from ADS
#16,964
of 22,632 outputs
Outputs of similar age
#144,624
of 266,304 outputs
Outputs of similar age from ADS
#77
of 136 outputs
Altmetric has tracked 13,452,785 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,632 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 266,304 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.