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Differential privacy: its technological prescriptive using big data

Overview of attention for article published in Journal of Big Data, April 2018
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
86 Mendeley
Title
Differential privacy: its technological prescriptive using big data
Published in
Journal of Big Data, April 2018
DOI 10.1186/s40537-018-0124-9
Authors

Priyank Jain, Manasi Gyanchandani, Nilay Khare

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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 19%
Student > Ph. D. Student 12 14%
Student > Bachelor 7 8%
Researcher 6 7%
Professor > Associate Professor 4 5%
Other 14 16%
Unknown 27 31%
Readers by discipline Count As %
Computer Science 36 42%
Engineering 7 8%
Business, Management and Accounting 4 5%
Unspecified 2 2%
Nursing and Health Professions 1 1%
Other 5 6%
Unknown 31 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 18 March 2022.
All research outputs
#2,679,123
of 23,371,053 outputs
Outputs from Journal of Big Data
#52
of 354 outputs
Outputs of similar age
#57,288
of 328,970 outputs
Outputs of similar age from Journal of Big Data
#3
of 10 outputs
Altmetric has tracked 23,371,053 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 85% 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 328,970 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 82% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.