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High-performance secure multi-party computation for data mining applications

Overview of attention for article published in International Journal of Information Security, September 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 165)
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

twitter
2 X users
patent
15 patents

Citations

dimensions_citation
155 Dimensions

Readers on

mendeley
58 Mendeley
citeulike
1 CiteULike
Title
High-performance secure multi-party computation for data mining applications
Published in
International Journal of Information Security, September 2012
DOI 10.1007/s10207-012-0177-2
Authors

Dan Bogdanov, Margus Niitsoo, Tomas Toft, Jan Willemson

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Switzerland 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 40%
Student > Master 9 16%
Student > Bachelor 4 7%
Student > Postgraduate 4 7%
Professor > Associate Professor 3 5%
Other 6 10%
Unknown 9 16%
Readers by discipline Count As %
Computer Science 38 66%
Mathematics 2 3%
Social Sciences 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Energy 1 2%
Other 3 5%
Unknown 11 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 19 March 2024.
All research outputs
#2,820,310
of 23,556,846 outputs
Outputs from International Journal of Information Security
#11
of 165 outputs
Outputs of similar age
#19,179
of 170,036 outputs
Outputs of similar age from International Journal of Information Security
#1
of 1 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 165 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has done particularly well, scoring higher than 93% 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 170,036 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 88% of its contemporaries.
We're also able to compare this research output to 1 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