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Automata Implementation

Overview of attention for book
Attention for Chapter 12: NFA to DFA transformation for finite languages
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
4 Mendeley
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Chapter title
NFA to DFA transformation for finite languages
Chapter number 12
Book title
Automata Implementation
Published in
Lecture notes in computer science, June 2005
DOI 10.1007/3-540-63174-7_12
Book ISBNs
978-3-54-063174-3, 978-3-54-069205-8
Authors

Kai Salomaa, Sheng Yu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%
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 18 March 2017.
All research outputs
#7,523,397
of 22,959,818 outputs
Outputs from Lecture notes in computer science
#2,489
of 8,137 outputs
Outputs of similar age
#20,437
of 57,532 outputs
Outputs of similar age from Lecture notes in computer science
#14
of 61 outputs
Altmetric has tracked 22,959,818 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 8,137 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 57,532 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.