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Incorporating Latent Variables into Discrete Choice Models — A Simultaneous Estimation Approach Using SEM Software

Overview of attention for article published in Business Research, March 2014
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About this Attention Score

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

Mentioned by

policy
1 policy source

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
184 Mendeley
Title
Incorporating Latent Variables into Discrete Choice Models — A Simultaneous Estimation Approach Using SEM Software
Published in
Business Research, March 2014
DOI 10.1007/bf03343535
Authors

Dirk Temme, Marcel Paulssen, Till Dannewald

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 1%
United Kingdom 2 1%
Colombia 1 <1%
Germany 1 <1%
Australia 1 <1%
Chile 1 <1%
Belgium 1 <1%
Spain 1 <1%
Japan 1 <1%
Other 2 1%
Unknown 171 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 30%
Student > Master 23 13%
Researcher 20 11%
Student > Doctoral Student 15 8%
Professor > Associate Professor 10 5%
Other 29 16%
Unknown 32 17%
Readers by discipline Count As %
Engineering 57 31%
Economics, Econometrics and Finance 25 14%
Business, Management and Accounting 19 10%
Social Sciences 14 8%
Agricultural and Biological Sciences 6 3%
Other 21 11%
Unknown 42 23%
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 January 2016.
All research outputs
#7,528,880
of 22,974,684 outputs
Outputs from Business Research
#29
of 58 outputs
Outputs of similar age
#74,176
of 221,776 outputs
Outputs of similar age from Business Research
#3
of 7 outputs
Altmetric has tracked 22,974,684 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 58 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 37th percentile – i.e., 37% 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 221,776 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.