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Endogenous Demand and Demanding Consumers: A Computational Approach

Overview of attention for article published in Computational Economics, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Endogenous Demand and Demanding Consumers: A Computational Approach
Published in
Computational Economics, January 2016
DOI 10.1007/s10614-015-9557-9
Authors

Carlos M. Fernández-Márquez, Francisco Fatás-Villafranca, Francisco J. Vázquez

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 1 25%
Student > Postgraduate 1 25%
Readers by discipline Count As %
Business, Management and Accounting 1 25%
Computer Science 1 25%
Agricultural and Biological Sciences 1 25%
Unknown 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 March 2016.
All research outputs
#1,882,005
of 12,319,703 outputs
Outputs from Computational Economics
#11
of 82 outputs
Outputs of similar age
#57,701
of 286,603 outputs
Outputs of similar age from Computational Economics
#1
of 3 outputs
Altmetric has tracked 12,319,703 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 82 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 86% 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 286,603 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
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