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A maturity model for blockchain adoption

Overview of attention for article published in Financial Innovation, November 2016
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
166 Dimensions

Readers on

mendeley
558 Mendeley
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Title
A maturity model for blockchain adoption
Published in
Financial Innovation, November 2016
DOI 10.1186/s40854-016-0031-z
Authors

Huaiqing Wang, Kun Chen, Dongming Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 558 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 558 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 138 25%
Student > Ph. D. Student 92 16%
Student > Bachelor 53 9%
Researcher 40 7%
Student > Doctoral Student 40 7%
Other 81 15%
Unknown 114 20%
Readers by discipline Count As %
Business, Management and Accounting 154 28%
Computer Science 138 25%
Engineering 57 10%
Economics, Econometrics and Finance 38 7%
Social Sciences 11 2%
Other 34 6%
Unknown 126 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 May 2017.
All research outputs
#13,531,477
of 22,947,506 outputs
Outputs from Financial Innovation
#67
of 156 outputs
Outputs of similar age
#163,084
of 307,811 outputs
Outputs of similar age from Financial Innovation
#8
of 12 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 54% 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 307,811 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
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 is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.