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Understanding the nonadditive probability decision model

Overview of attention for article published in Economic Theory, February 1997
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Mentioned by

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1 X user

Citations

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92 Dimensions

Readers on

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21 Mendeley
Title
Understanding the nonadditive probability decision model
Published in
Economic Theory, February 1997
DOI 10.1007/bf01213441
Authors

Sujoy Mukerji

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
United States 1 5%
China 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Researcher 3 14%
Professor > Associate Professor 3 14%
Student > Master 3 14%
Other 2 10%
Other 3 14%
Unknown 2 10%
Readers by discipline Count As %
Economics, Econometrics and Finance 12 57%
Philosophy 1 5%
Arts and Humanities 1 5%
Agricultural and Biological Sciences 1 5%
Environmental Science 1 5%
Other 2 10%
Unknown 3 14%
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 December 2018.
All research outputs
#17,975,585
of 23,116,036 outputs
Outputs from Economic Theory
#276
of 346 outputs
Outputs of similar age
#89,096
of 92,470 outputs
Outputs of similar age from Economic Theory
#2
of 2 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 346 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 19th percentile – i.e., 19% 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 92,470 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% 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.