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Computational complexity of polyadic lifts of generalized quantifiers in natural language

Overview of attention for article published in Linguistics and Philosophy, November 2010
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About this Attention Score

  • Among the highest-scoring outputs from this source (#21 of 210)
  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
18 Mendeley
Title
Computational complexity of polyadic lifts of generalized quantifiers in natural language
Published in
Linguistics and Philosophy, November 2010
DOI 10.1007/s10988-010-9076-z
Authors

Jakub Szymanik

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Netherlands 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Lecturer 3 17%
Unspecified 2 11%
Lecturer > Senior Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 4 22%
Unknown 3 17%
Readers by discipline Count As %
Linguistics 4 22%
Arts and Humanities 2 11%
Unspecified 2 11%
Philosophy 2 11%
Mathematics 1 6%
Other 3 17%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 December 2011.
All research outputs
#5,860,207
of 22,710,079 outputs
Outputs from Linguistics and Philosophy
#21
of 210 outputs
Outputs of similar age
#29,639
of 100,178 outputs
Outputs of similar age from Linguistics and Philosophy
#1
of 1 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 210 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 90% 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 100,178 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them