↓ Skip to main content

Characterizing Wealth Inequality in Cryptocurrencies

Overview of attention for article published in Frontiers in Blockchain, December 2021
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 212)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
6 news outlets
blogs
2 blogs
twitter
215 X users
reddit
1 Redditor

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
29 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Characterizing Wealth Inequality in Cryptocurrencies
Published in
Frontiers in Blockchain, December 2021
DOI 10.3389/fbloc.2021.730122
Authors

Ashish Rajendra Sai, Jim Buckley, Andrew Le Gear

X Demographics

X Demographics

The data shown below were collected from the profiles of 215 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Doctoral Student 2 7%
Student > Bachelor 1 3%
Other 1 3%
Student > Ph. D. Student 1 3%
Other 1 3%
Unknown 18 62%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 14%
Business, Management and Accounting 3 10%
Computer Science 2 7%
Environmental Science 1 3%
Social Sciences 1 3%
Other 0 0%
Unknown 18 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 243. 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 04 May 2024.
All research outputs
#165,191
of 26,583,927 outputs
Outputs from Frontiers in Blockchain
#2
of 212 outputs
Outputs of similar age
#4,932
of 530,828 outputs
Outputs of similar age from Frontiers in Blockchain
#1
of 12 outputs
Altmetric has tracked 26,583,927 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done particularly well, scoring higher than 99% of its peers.
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 530,828 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.