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Estimating a stock-flow model for the Swiss housing market

Overview of attention for article published in Swiss Journal of Economics and Statistics, December 2010
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
27 Mendeley
Title
Estimating a stock-flow model for the Swiss housing market
Published in
Swiss Journal of Economics and Statistics, December 2010
DOI 10.1007/bf03399329
Authors

Elizabeth Steiner

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 22%
Student > Doctoral Student 4 15%
Student > Bachelor 4 15%
Researcher 4 15%
Professor 3 11%
Other 4 15%
Unknown 2 7%
Readers by discipline Count As %
Economics, Econometrics and Finance 14 52%
Business, Management and Accounting 4 15%
Engineering 2 7%
Design 1 4%
Unknown 6 22%
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 21 March 2019.
All research outputs
#8,130,735
of 24,385,762 outputs
Outputs from Swiss Journal of Economics and Statistics
#40
of 87 outputs
Outputs of similar age
#57,195
of 189,150 outputs
Outputs of similar age from Swiss Journal of Economics and Statistics
#1
of 2 outputs
Altmetric has tracked 24,385,762 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 87 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 32nd percentile – i.e., 32% 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 189,150 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% 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