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PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension

Overview of attention for article published in BMC Medical Genomics, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
4 tweeters
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
34 Mendeley
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Title
PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension
Published in
BMC Medical Genomics, July 2017
DOI 10.1186/s12920-017-0281-2
Pubmed ID
Authors

Feng Chen, Chenghong Wang, Wenrui Dai, Xiaoqian Jiang, Noman Mohammed, Md Momin Al Aziz, Md Nazmus Sadat, Cenk Sahinalp, Kristin Lauter, Shuang Wang

Abstract

Advances in DNA sequencing technologies have prompted a wide range of genomic applications to improve healthcare and facilitate biomedical research. However, privacy and security concerns have emerged as a challenge for utilizing cloud computing to handle sensitive genomic data. We present one of the first implementations of Software Guard Extension (SGX) based securely outsourced genetic testing framework, which leverages multiple cryptographic protocols and minimal perfect hash scheme to enable efficient and secure data storage and computation outsourcing. We compared the performance of the proposed PRESAGE framework with the state-of-the-art homomorphic encryption scheme, as well as the plaintext implementation. The experimental results demonstrated significant performance over the homomorphic encryption methods and a small computational overhead in comparison to plaintext implementation. The proposed PRESAGE provides an alternative solution for secure and efficient genomic data outsourcing in an untrusted cloud by using a hybrid framework that combines secure hardware and multiple crypto protocols.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 35%
Student > Master 5 15%
Other 4 12%
Researcher 4 12%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 4 12%
Readers by discipline Count As %
Computer Science 18 53%
Biochemistry, Genetics and Molecular Biology 4 12%
Engineering 3 9%
Agricultural and Biological Sciences 1 3%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 5 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 07 November 2019.
All research outputs
#1,568,721
of 16,156,266 outputs
Outputs from BMC Medical Genomics
#69
of 851 outputs
Outputs of similar age
#39,991
of 272,608 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 6 outputs
Altmetric has tracked 16,156,266 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 851 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 91% 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 272,608 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 85% of its contemporaries.
We're also able to compare this research output to 6 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