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A method of trend forecasting for financial and geopolitical data: inferring the effects of unknown exogenous variables

Overview of attention for article published in Journal of Big Data, December 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
3 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
24 Mendeley
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Title
A method of trend forecasting for financial and geopolitical data: inferring the effects of unknown exogenous variables
Published in
Journal of Big Data, December 2018
DOI 10.1186/s40537-018-0160-5
Authors

Lucas Cassiel Jacaruso

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Bachelor 2 8%
Other 1 4%
Student > Doctoral Student 1 4%
Librarian 1 4%
Other 3 13%
Unknown 12 50%
Readers by discipline Count As %
Business, Management and Accounting 3 13%
Mathematics 2 8%
Agricultural and Biological Sciences 2 8%
Computer Science 2 8%
Economics, Econometrics and Finance 1 4%
Other 2 8%
Unknown 12 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 August 2022.
All research outputs
#5,578,490
of 23,130,383 outputs
Outputs from Journal of Big Data
#91
of 346 outputs
Outputs of similar age
#110,764
of 436,854 outputs
Outputs of similar age from Journal of Big Data
#2
of 13 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 73% 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 436,854 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 74% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.