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Model selection when estimating and predicting consumer demands using international, cross section data

Overview of attention for article published in Empirical Economics, April 2003
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
45 Mendeley
Title
Model selection when estimating and predicting consumer demands using international, cross section data
Published in
Empirical Economics, April 2003
DOI 10.1007/s001810200135
Authors

J. A. L. Cranfield, James S. Eales, Thomas W. Hertel, Paul V. Preckel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
United States 1 2%
Germany 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 9 20%
Student > Master 8 18%
Lecturer 2 4%
Professor > Associate Professor 2 4%
Other 4 9%
Unknown 9 20%
Readers by discipline Count As %
Economics, Econometrics and Finance 22 49%
Business, Management and Accounting 3 7%
Agricultural and Biological Sciences 3 7%
Mathematics 2 4%
Engineering 2 4%
Other 2 4%
Unknown 11 24%
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 August 2014.
All research outputs
#7,797,908
of 23,674,309 outputs
Outputs from Empirical Economics
#244
of 747 outputs
Outputs of similar age
#17,577
of 51,728 outputs
Outputs of similar age from Empirical Economics
#1
of 2 outputs
Altmetric has tracked 23,674,309 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 747 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 43rd percentile – i.e., 43% 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 51,728 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% 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. This one has scored higher than all of them