↓ Skip to main content

A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-Constrained Computing

Overview of attention for article published in IEEE Internet of Things Journal, September 2023
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 1,153)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
47 news outlets

Readers on

mendeley
30 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
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-Constrained Computing
Published in
IEEE Internet of Things Journal, September 2023
DOI 10.1109/jiot.2023.3313055
Authors

Ervin Moore, Ahmed Imteaj, Shabnam Rezapour, M. Hadi Amini

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Student > Ph. D. Student 3 10%
Lecturer > Senior Lecturer 2 7%
Student > Bachelor 1 3%
Unspecified 1 3%
Other 2 7%
Unknown 14 47%
Readers by discipline Count As %
Engineering 6 20%
Computer Science 5 17%
Business, Management and Accounting 3 10%
Energy 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 14 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 336. 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 18 December 2023.
All research outputs
#98,672
of 25,507,011 outputs
Outputs from IEEE Internet of Things Journal
#1
of 1,153 outputs
Outputs of similar age
#1,838
of 354,370 outputs
Outputs of similar age from IEEE Internet of Things Journal
#1
of 16 outputs
Altmetric has tracked 25,507,011 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,153 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 99% 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 354,370 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.