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Attention Score in Context
| Chapter title |
Computer Algebra in Scientific Computing
|
|---|---|
| Chapter number | 23 |
| Book title |
Computer Algebra in Scientific Computing
|
| Published in |
Lecture notes in computer science, September 2016
|
| DOI | 10.1007/978-3-319-45641-6_23 |
| Book ISBNs |
978-3-31-945640-9, 978-3-31-945641-6
|
| Authors |
François Lemaire, Alexandre Temperville |
| Editors |
Vladimir P. Gerdt, Wolfram Koepf, Werner M. Seiler, Evgenii V. Vorozhtsov |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 December 2016.
All research outputs
#4,196,076
of 22,903,988 outputs
Outputs from Lecture notes in computer science
#988
of 8,129 outputs
Outputs of similar age
#69,820
of 320,576 outputs
Outputs of similar age from Lecture notes in computer science
#62
of 513 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 320,576 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 513 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.