↓ Skip to main content

Solving Linear Rational Expectations Models: A Horse Race

Overview of attention for article published in Computational Economics, September 2007
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#45 of 190)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
69 Mendeley
Title
Solving Linear Rational Expectations Models: A Horse Race
Published in
Computational Economics, September 2007
DOI 10.1007/s10614-007-9108-0
Authors

Gary S. Anderson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
Chile 1 1%
Japan 1 1%
Unknown 63 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 43%
Researcher 12 17%
Student > Master 9 13%
Student > Doctoral Student 6 9%
Professor > Associate Professor 3 4%
Other 5 7%
Unknown 4 6%
Readers by discipline Count As %
Economics, Econometrics and Finance 57 83%
Mathematics 2 3%
Engineering 2 3%
Computer Science 2 3%
Business, Management and Accounting 1 1%
Other 0 0%
Unknown 5 7%
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 01 September 2011.
All research outputs
#7,516,466
of 22,952,268 outputs
Outputs from Computational Economics
#45
of 190 outputs
Outputs of similar age
#25,003
of 70,283 outputs
Outputs of similar age from Computational Economics
#1
of 3 outputs
Altmetric has tracked 22,952,268 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 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 70,283 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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