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Block Kalman Filtering for Large-Scale DSGE Models

Overview of attention for article published in Computational Economics, October 2008
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About this Attention Score

  • Among the highest-scoring outputs from this source (#45 of 190)

Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
37 Mendeley
Title
Block Kalman Filtering for Large-Scale DSGE Models
Published in
Computational Economics, October 2008
DOI 10.1007/s10614-008-9160-4
Authors

Ingvar Strid, Karl Walentin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Ukraine 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 27%
Student > Master 8 22%
Researcher 5 14%
Student > Bachelor 3 8%
Student > Postgraduate 2 5%
Other 2 5%
Unknown 7 19%
Readers by discipline Count As %
Engineering 13 35%
Mathematics 5 14%
Economics, Econometrics and Finance 3 8%
Computer Science 2 5%
Business, Management and Accounting 2 5%
Other 4 11%
Unknown 8 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 February 2014.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from Computational Economics
#45
of 190 outputs
Outputs of similar age
#32,150
of 90,769 outputs
Outputs of similar age from Computational Economics
#1
of 2 outputs
Altmetric has tracked 22,782,096 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 190 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 55% 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 90,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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