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q-SampEnAve: an adaptive measurement to recognize the patterns for short-term financial time series

Overview of attention for article published in Nonlinear Dynamics, July 2018
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1 X user

Citations

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3 Dimensions

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3 Mendeley
Title
q-SampEnAve: an adaptive measurement to recognize the patterns for short-term financial time series
Published in
Nonlinear Dynamics, July 2018
DOI 10.1007/s11071-018-4470-0
Authors

Jiayi He, Pengjian Shang

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Unknown 2 67%
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 17 July 2018.
All research outputs
#18,643,992
of 23,096,849 outputs
Outputs from Nonlinear Dynamics
#353
of 549 outputs
Outputs of similar age
#252,546
of 327,152 outputs
Outputs of similar age from Nonlinear Dynamics
#6
of 6 outputs
Altmetric has tracked 23,096,849 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 549 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 15th percentile – i.e., 15% 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 327,152 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.