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Secure and Efficient Federated Learning Through Layering and Sharding Blockchain

Overview of attention for article published in IEEE Transactions on Network Science and Engineering, February 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 173)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

twitter
26 X users
patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain
Published in
IEEE Transactions on Network Science and Engineering, February 2024
DOI 10.1109/tnse.2024.3361458
Authors

Shuo Yuan, Bin Cao, Yao Sun, Zhiguo Wan, Mugen Peng

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Student > Doctoral Student 3 11%
Student > Ph. D. Student 3 11%
Researcher 2 7%
Lecturer 1 4%
Other 2 7%
Unknown 12 43%
Readers by discipline Count As %
Computer Science 11 39%
Engineering 2 7%
Business, Management and Accounting 1 4%
Arts and Humanities 1 4%
Unknown 13 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 05 February 2024.
All research outputs
#1,754,491
of 25,834,578 outputs
Outputs from IEEE Transactions on Network Science and Engineering
#3
of 173 outputs
Outputs of similar age
#26,290
of 352,570 outputs
Outputs of similar age from IEEE Transactions on Network Science and Engineering
#1
of 2 outputs
Altmetric has tracked 25,834,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 173 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 98% 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 352,570 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 92% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them