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Characterizing key agents in the cryptocurrency economy through blockchain transaction analysis

Overview of attention for article published in EPJ Data Science, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

twitter
5 X users

Citations

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12 Dimensions

Readers on

mendeley
52 Mendeley
Title
Characterizing key agents in the cryptocurrency economy through blockchain transaction analysis
Published in
EPJ Data Science, May 2021
DOI 10.1140/epjds/s13688-021-00276-9
Authors

Xiao Fan Liu, Huan-Huan Ren, Si-Hao Liu, Xian-Jian Jiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 10%
Lecturer 4 8%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Student > Ph. D. Student 3 6%
Other 7 13%
Unknown 27 52%
Readers by discipline Count As %
Computer Science 8 15%
Business, Management and Accounting 7 13%
Engineering 4 8%
Economics, Econometrics and Finance 3 6%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 27 52%
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 03 May 2021.
All research outputs
#13,510,424
of 23,308,124 outputs
Outputs from EPJ Data Science
#345
of 382 outputs
Outputs of similar age
#197,339
of 438,160 outputs
Outputs of similar age from EPJ Data Science
#19
of 19 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 8th percentile – i.e., 8% 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 438,160 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 54% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.