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Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions

Overview of attention for article published in Journal of Cloud Computing, June 2021
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Mentioned by

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1 X user

Citations

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70 Dimensions

Readers on

mendeley
178 Mendeley
Title
Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions
Published in
Journal of Cloud Computing, June 2021
DOI 10.1186/s13677-021-00247-5
Authors

Wenjuan Li, Jiyi Wu, Jian Cao, Nan Chen, Qifei Zhang, Rajkumar Buyya

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 178 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 18 10%
Student > Ph. D. Student 13 7%
Student > Master 12 7%
Student > Bachelor 7 4%
Student > Doctoral Student 6 3%
Other 27 15%
Unknown 95 53%
Readers by discipline Count As %
Computer Science 39 22%
Unspecified 18 10%
Engineering 9 5%
Business, Management and Accounting 5 3%
Economics, Econometrics and Finance 3 2%
Other 8 4%
Unknown 96 54%
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 22 June 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from Journal of Cloud Computing
#153
of 256 outputs
Outputs of similar age
#320,007
of 444,798 outputs
Outputs of similar age from Journal of Cloud Computing
#3
of 14 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 256 research outputs from this source. They receive a mean Attention Score of 2.1. 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 444,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.