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Variance matters (in stochastic dividend discount models)

Overview of attention for article published in Annals of Finance, November 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
16 Mendeley
Title
Variance matters (in stochastic dividend discount models)
Published in
Annals of Finance, November 2014
DOI 10.1007/s10436-014-0257-6
Authors

Arianna Agosto, Enrico Moretto

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Singapore 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 31%
Lecturer 2 13%
Researcher 2 13%
Professor 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 4 25%
Readers by discipline Count As %
Economics, Econometrics and Finance 5 31%
Business, Management and Accounting 4 25%
Psychology 1 6%
Mathematics 1 6%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 November 2014.
All research outputs
#13,067,657
of 22,771,140 outputs
Outputs from Annals of Finance
#14
of 43 outputs
Outputs of similar age
#121,290
of 262,839 outputs
Outputs of similar age from Annals of Finance
#1
of 1 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 43 research outputs from this source. They receive a mean Attention Score of 1.6. This one scored the same or higher as 29 of them.
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 262,839 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 53% 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