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A Neo-institutionalist Model of the Diffusion of IFRS Accounting Standards

Overview of attention for article published in Computational Economics, May 2013
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user
peer_reviews
1 peer review site

Citations

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9 Dimensions

Readers on

mendeley
31 Mendeley
Title
A Neo-institutionalist Model of the Diffusion of IFRS Accounting Standards
Published in
Computational Economics, May 2013
DOI 10.1007/s10614-013-9384-9
Authors

Dominique Dufour, Pierre Teller, Philippe Luu

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

Geographical breakdown

Country Count As %
Korea, Republic of 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Doctoral Student 6 19%
Student > Master 5 16%
Student > Bachelor 3 10%
Lecturer 1 3%
Other 4 13%
Unknown 6 19%
Readers by discipline Count As %
Business, Management and Accounting 13 42%
Social Sciences 5 16%
Economics, Econometrics and Finance 3 10%
Engineering 2 6%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 6 19%
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 06 May 2021.
All research outputs
#14,956,098
of 23,003,906 outputs
Outputs from Computational Economics
#109
of 190 outputs
Outputs of similar age
#116,496
of 195,915 outputs
Outputs of similar age from Computational Economics
#1
of 3 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 190 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 41st percentile – i.e., 41% 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 195,915 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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