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The Arrow-Debreu model: How math can hide a fatal conceptual error

Overview of attention for article published in Forum for Social Economics, January 2000
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About this Attention Score

  • Among the highest-scoring outputs from this source (#37 of 164)
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
5 Mendeley
Title
The Arrow-Debreu model: How math can hide a fatal conceptual error
Published in
Forum for Social Economics, January 2000
DOI 10.1007/bf02779102
Authors

David Ellerman

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 40%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Unknown 1 20%
Readers by discipline Count As %
Environmental Science 2 40%
Business, Management and Accounting 1 20%
Economics, Econometrics and Finance 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 January 2024.
All research outputs
#7,455,254
of 25,657,205 outputs
Outputs from Forum for Social Economics
#37
of 164 outputs
Outputs of similar age
#20,037
of 110,470 outputs
Outputs of similar age from Forum for Social Economics
#1
of 2 outputs
Altmetric has tracked 25,657,205 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 164 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 76% 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 110,470 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 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