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A labelling framework for probabilistic argumentation

Overview of attention for article published in Annals of Mathematics and Artificial Intelligence, March 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
6 X users
facebook
2 Facebook pages

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
21 Mendeley
Title
A labelling framework for probabilistic argumentation
Published in
Annals of Mathematics and Artificial Intelligence, March 2018
DOI 10.1007/s10472-018-9574-1
Authors

Régis Riveret, Pietro Baroni, Yang Gao, Guido Governatori, Antonino Rotolo, Giovanni Sartor

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Student > Master 5 24%
Researcher 2 10%
Professor 1 5%
Unspecified 1 5%
Other 2 10%
Unknown 4 19%
Readers by discipline Count As %
Computer Science 5 24%
Arts and Humanities 2 10%
Engineering 2 10%
Unspecified 1 5%
Mathematics 1 5%
Other 4 19%
Unknown 6 29%
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 12 March 2018.
All research outputs
#14,282,606
of 24,002,307 outputs
Outputs from Annals of Mathematics and Artificial Intelligence
#81
of 134 outputs
Outputs of similar age
#175,941
of 335,785 outputs
Outputs of similar age from Annals of Mathematics and Artificial Intelligence
#2
of 2 outputs
Altmetric has tracked 24,002,307 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 134 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 38th percentile – i.e., 38% 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 335,785 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.