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The Mathematics of Language

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Attention for Chapter 2: A Datalog Recognizer for Almost Affine λ-CFGs
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Chapter title
A Datalog Recognizer for Almost Affine λ-CFGs
Chapter number 2
Book title
The Mathematics of Language
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-23211-4_2
Book ISBNs
978-3-64-223210-7, 978-3-64-223211-4
Authors

Pierre Bourreau, Sylvain Salvati

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Attention Score in Context

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 22 October 2011.
All research outputs
#15,237,301
of 22,655,397 outputs
Outputs from Lecture notes in computer science
#4,644
of 8,122 outputs
Outputs of similar age
#140,031
of 180,260 outputs
Outputs of similar age from Lecture notes in computer science
#149
of 318 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 180,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.