↓ Skip to main content

Artificial Intelligence and Blockchain: How Should Emerging Technologies Be Governed?

Overview of attention for article published in Research Metrics and Analytics (RMA), February 2022
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
49 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
Artificial Intelligence and Blockchain: How Should Emerging Technologies Be Governed?
Published in
Research Metrics and Analytics (RMA), February 2022
DOI 10.3389/frma.2022.801549
Pubmed ID
Authors

Cornelius Kalenzi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 8%
Lecturer 4 8%
Student > Doctoral Student 2 4%
Professor > Associate Professor 2 4%
Researcher 2 4%
Other 5 10%
Unknown 30 61%
Readers by discipline Count As %
Business, Management and Accounting 6 12%
Social Sciences 6 12%
Computer Science 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 6%
Unknown 30 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 February 2022.
All research outputs
#20,673,680
of 25,392,582 outputs
Outputs from Research Metrics and Analytics (RMA)
#283
of 356 outputs
Outputs of similar age
#395,520
of 525,416 outputs
Outputs of similar age from Research Metrics and Analytics (RMA)
#20
of 22 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 1st percentile – i.e., 1% 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 525,416 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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.