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Probabilistic Approaches to Vagueness and Semantic Competency

Overview of attention for article published in Erkenntnis, June 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
2 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
7 Mendeley
Title
Probabilistic Approaches to Vagueness and Semantic Competency
Published in
Erkenntnis, June 2017
DOI 10.1007/s10670-017-9910-6
Authors

Peter R. Sutton

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Student > Ph. D. Student 1 14%
Other 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Linguistics 3 43%
Philosophy 1 14%
Business, Management and Accounting 1 14%
Computer Science 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 September 2018.
All research outputs
#13,557,147
of 22,979,862 outputs
Outputs from Erkenntnis
#343
of 839 outputs
Outputs of similar age
#161,467
of 317,132 outputs
Outputs of similar age from Erkenntnis
#6
of 27 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 839 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 55% 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 317,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.