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A distributed approach to enabling privacy-preserving model-based classifier training

Overview of attention for article published in Knowledge and Information Systems, September 2008
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Mentioned by

patent
1 patent

Citations

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7 Dimensions

Readers on

mendeley
14 Mendeley
Title
A distributed approach to enabling privacy-preserving model-based classifier training
Published in
Knowledge and Information Systems, September 2008
DOI 10.1007/s10115-008-0167-x
Authors

Hangzai Luo, Jianping Fan, Xiaodong Lin, Aoying Zhou, Elisa Bertino

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Librarian 1 7%
Other 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 9 64%
Biochemistry, Genetics and Molecular Biology 1 7%
Social Sciences 1 7%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 April 2018.
All research outputs
#7,866,480
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#76
of 614 outputs
Outputs of similar age
#32,596
of 89,592 outputs
Outputs of similar age from Knowledge and Information Systems
#1
of 3 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 65% 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 89,592 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
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