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Profitability Edge by Dynamic Back Testing Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting

Overview of attention for article published in Computational Economics, December 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
2 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
4 Mendeley
Title
Profitability Edge by Dynamic Back Testing Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting
Published in
Computational Economics, December 2016
DOI 10.1007/s10614-016-9640-x
Authors

D. Th. Vezeris, C. J. Schinas, G. Papaschinopoulos

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Student > Ph. D. Student 1 25%
Unspecified 1 25%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 50%
Unspecified 1 25%
Engineering 1 25%

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 06 December 2016.
All research outputs
#3,537,665
of 12,319,703 outputs
Outputs from Computational Economics
#21
of 82 outputs
Outputs of similar age
#114,808
of 339,400 outputs
Outputs of similar age from Computational Economics
#1
of 5 outputs
Altmetric has tracked 12,319,703 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 82 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 45th percentile – i.e., 45% 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 339,400 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 63% of its contemporaries.
We're also able to compare this research output to 5 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