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Deep learning models for inflation forecasting

Overview of attention for article published in Applied Stochastic Models in Business & Industry, April 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#31 of 176)
  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Deep learning models for inflation forecasting
Published in
Applied Stochastic Models in Business & Industry, April 2023
DOI 10.1002/asmb.2757
Authors

Alexandre Fernandes Theoharidis, Diogo Abry Guillén, Hedibert Lopes

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 17%
Professor > Associate Professor 3 17%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Lecturer > Senior Lecturer 1 6%
Other 0 0%
Unknown 9 50%
Readers by discipline Count As %
Mathematics 4 22%
Economics, Econometrics and Finance 2 11%
Computer Science 2 11%
Business, Management and Accounting 1 6%
Unknown 9 50%
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 30 May 2023.
All research outputs
#13,966,449
of 24,877,869 outputs
Outputs from Applied Stochastic Models in Business & Industry
#31
of 176 outputs
Outputs of similar age
#155,913
of 407,134 outputs
Outputs of similar age from Applied Stochastic Models in Business & Industry
#1
of 10 outputs
Altmetric has tracked 24,877,869 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 176 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 82% 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 407,134 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 10 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