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Complexity in Neural and Financial Systems: From Time‐Series to Networks

Overview of attention for article published in Complexity, April 2018
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18 Mendeley
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Article details
Title
Complexity in Neural and Financial Systems: From Time‐Series to Networks
Published in
Complexity, April 2018
DOI 10.1155/2018/3132940
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Researcher 4 22%
Professor > Associate Professor 2 11%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 3 17%
Business, Management and Accounting 2 11%
Economics, Econometrics and Finance 2 11%
Mathematics 1 6%
Agricultural and Biological Sciences 1 6%
Other 5 28%
Unknown 4 22%
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 20 June 2018.
All research outputs
#23,761,539
of 26,450,025 outputs
Outputs from Complexity
#778
of 838 outputs
Outputs of similar age
#304,357
of 344,041 outputs
Outputs of similar age from Complexity
#9
of 9 outputs
Altmetric has tracked 26,450,025 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 838 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 344,041 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.