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Forecasting output growth using a DSGE-based decomposition of the South African yield curve

Overview of attention for article published in Empirical Economics, November 2018
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1 X user

Citations

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11 Mendeley
Title
Forecasting output growth using a DSGE-based decomposition of the South African yield curve
Published in
Empirical Economics, November 2018
DOI 10.1007/s00181-018-1607-4
Authors

Rangan Gupta, Hylton Hollander, Rudi Steinbach

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 18%
Student > Ph. D. Student 2 18%
Researcher 2 18%
Student > Master 2 18%
Professor 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Economics, Econometrics and Finance 5 45%
Business, Management and Accounting 1 9%
Social Sciences 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 December 2018.
All research outputs
#18,658,501
of 23,116,036 outputs
Outputs from Empirical Economics
#589
of 708 outputs
Outputs of similar age
#325,472
of 437,135 outputs
Outputs of similar age from Empirical Economics
#12
of 14 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 708 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 6th percentile – i.e., 6% 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 437,135 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.