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Trusting the trust machine: Evaluating trust signals of blockchain applications

Overview of attention for article published in International Journal of Information Management, February 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
105 Mendeley
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Title
Trusting the trust machine: Evaluating trust signals of blockchain applications
Published in
International Journal of Information Management, February 2023
DOI 10.1016/j.ijinfomgt.2021.102429
Authors

Fabiane Völter, Nils Urbach, Julian Padget

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 12%
Student > Master 9 9%
Researcher 7 7%
Student > Doctoral Student 6 6%
Professor > Associate Professor 5 5%
Other 14 13%
Unknown 51 49%
Readers by discipline Count As %
Business, Management and Accounting 24 23%
Computer Science 8 8%
Engineering 5 5%
Social Sciences 3 3%
Economics, Econometrics and Finance 2 2%
Other 8 8%
Unknown 55 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 October 2021.
All research outputs
#6,724,105
of 25,392,582 outputs
Outputs from International Journal of Information Management
#190
of 821 outputs
Outputs of similar age
#123,362
of 471,899 outputs
Outputs of similar age from International Journal of Information Management
#2
of 12 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 821 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done well, scoring higher than 76% 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 471,899 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 73% 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 well, scoring higher than 83% of its contemporaries.