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Differential privacy based on importance weighting

Overview of attention for article published in Machine Learning, June 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
46 Mendeley
Title
Differential privacy based on importance weighting
Published in
Machine Learning, June 2013
DOI 10.1007/s10994-013-5396-x
Pubmed ID
Authors

Zhanglong Ji, Charles Elkan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 33%
Researcher 7 15%
Student > Master 6 13%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 7 15%
Unknown 7 15%
Readers by discipline Count As %
Computer Science 24 52%
Mathematics 3 7%
Medicine and Dentistry 3 7%
Agricultural and Biological Sciences 2 4%
Linguistics 1 2%
Other 4 9%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 October 2015.
All research outputs
#5,711,219
of 22,830,751 outputs
Outputs from Machine Learning
#185
of 966 outputs
Outputs of similar age
#47,768
of 195,728 outputs
Outputs of similar age from Machine Learning
#4
of 12 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 966 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 80% 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 195,728 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 75% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.