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Dynamic correlation network analysis of financial asset returns with network clustering

Overview of attention for article published in Applied Network Science, May 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
2 CiteULike
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Title
Dynamic correlation network analysis of financial asset returns with network clustering
Published in
Applied Network Science, May 2017
DOI 10.1007/s41109-017-0031-6
Pubmed ID
Authors

Takashi Isogai

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

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 5 14%
Researcher 4 11%
Student > Bachelor 3 8%
Other 3 8%
Other 2 5%
Unknown 12 32%
Readers by discipline Count As %
Economics, Econometrics and Finance 7 19%
Mathematics 6 16%
Physics and Astronomy 4 11%
Computer Science 3 8%
Business, Management and Accounting 2 5%
Other 2 5%
Unknown 13 35%
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 26 February 2018.
All research outputs
#13,201,705
of 22,974,684 outputs
Outputs from Applied Network Science
#258
of 502 outputs
Outputs of similar age
#153,357
of 313,690 outputs
Outputs of similar age from Applied Network Science
#6
of 13 outputs
Altmetric has tracked 22,974,684 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 47th percentile – i.e., 47% 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 313,690 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 50% 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 gotten more attention than average, scoring higher than 53% of its contemporaries.