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Efficient integrity verification of replicated data in cloud using homomorphic encryption

Overview of attention for article published in Distributed and Parallel Databases, June 2014
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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 (#5 of 128)
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

patent
6 patents

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
32 Mendeley
Title
Efficient integrity verification of replicated data in cloud using homomorphic encryption
Published in
Distributed and Parallel Databases, June 2014
DOI 10.1007/s10619-014-7151-0
Authors

Raghul Mukundan, Sanjay Madria, Mark Linderman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 34%
Student > Master 8 25%
Professor > Associate Professor 3 9%
Professor 2 6%
Student > Postgraduate 2 6%
Other 4 13%
Unknown 2 6%
Readers by discipline Count As %
Computer Science 21 66%
Engineering 2 6%
Mathematics 1 3%
Philosophy 1 3%
Psychology 1 3%
Other 1 3%
Unknown 5 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 26 December 2023.
All research outputs
#3,494,737
of 23,854,458 outputs
Outputs from Distributed and Parallel Databases
#5
of 128 outputs
Outputs of similar age
#34,748
of 231,390 outputs
Outputs of similar age from Distributed and Parallel Databases
#1
of 3 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 128 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 92% 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 231,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 3 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