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A systematic framework to understand central bank digital currency

Overview of attention for article published in Science China Information Sciences, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 253)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
2 news outlets

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
182 Mendeley
Title
A systematic framework to understand central bank digital currency
Published in
Science China Information Sciences, January 2018
DOI 10.1007/s11432-017-9294-5
Authors

Qian Yao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 182 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 13%
Student > Master 16 9%
Student > Bachelor 14 8%
Lecturer 11 6%
Researcher 10 5%
Other 27 15%
Unknown 80 44%
Readers by discipline Count As %
Business, Management and Accounting 32 18%
Economics, Econometrics and Finance 29 16%
Computer Science 13 7%
Social Sciences 9 5%
Engineering 7 4%
Other 10 5%
Unknown 82 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 08 January 2018.
All research outputs
#1,957,301
of 24,217,893 outputs
Outputs from Science China Information Sciences
#40
of 253 outputs
Outputs of similar age
#45,515
of 450,293 outputs
Outputs of similar age from Science China Information Sciences
#2
of 5 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 253 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 82% 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 450,293 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.