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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 (53rd percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
47 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

Twitter Demographics

The data shown below were collected from the profiles of 5 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 9%
Student > Doctoral Student 4 9%
Researcher 3 6%
Student > Postgraduate 3 6%
Student > Ph. D. Student 3 6%
Other 5 11%
Unknown 25 53%
Readers by discipline Count As %
Computer Science 6 13%
Business, Management and Accounting 5 11%
Engineering 4 9%
Economics, Econometrics and Finance 3 6%
Arts and Humanities 2 4%
Other 2 4%
Unknown 25 53%

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
#12,163,926
of 21,033,636 outputs
Outputs from EPJ Data Science
#313
of 342 outputs
Outputs of similar age
#155,571
of 338,363 outputs
Outputs of similar age from EPJ Data Science
#1
of 1 outputs
Altmetric has tracked 21,033,636 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 342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.8. This one is in the 7th percentile – i.e., 7% 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 338,363 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 53% of its contemporaries.
We're also able to compare this research output to 1 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