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Logic, Language, and Computation

Overview of attention for book
Attention for Chapter 7: Duality and universal models for the meet-implication fragment of IPC
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
4 Mendeley
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Chapter title
Duality and universal models for the meet-implication fragment of IPC
Chapter number 7
Book title
Logic, Language, and Computation
Published in
arXiv, March 2014
DOI 10.1007/978-3-662-46906-4_7
Book ISBNs
978-3-66-246905-7, 978-3-66-246906-4
Authors

Nick Bezhanishvili, Dion Coumans, Samuel J. van Gool, Dick de Jongh

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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 %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 50%
Unknown 2 50%
Readers by discipline Count As %
Mathematics 3 75%
Unknown 1 25%
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 05 March 2014.
All research outputs
#17,715,061
of 22,747,498 outputs
Outputs from arXiv
#438,711
of 933,967 outputs
Outputs of similar age
#153,723
of 221,286 outputs
Outputs of similar age from arXiv
#2,547
of 9,659 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 933,967 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 42nd percentile – i.e., 42% 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 221,286 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9,659 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.