↓ Skip to main content

Experimenting sensitivity-based anonymization framework in apache spark

Overview of attention for article published in Journal of Big Data, October 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
25 Mendeley
Title
Experimenting sensitivity-based anonymization framework in apache spark
Published in
Journal of Big Data, October 2018
DOI 10.1186/s40537-018-0149-0
Authors

Mohammed Al-Zobbi, Seyed Shahrestani, Chun Ruan

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 20%
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Professor > Associate Professor 2 8%
Student > Master 2 8%
Other 1 4%
Unknown 10 40%
Readers by discipline Count As %
Computer Science 10 40%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Business, Management and Accounting 1 4%
Decision Sciences 1 4%
Other 1 4%
Unknown 10 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 October 2018.
All research outputs
#8,562,864
of 13,622,595 outputs
Outputs from Journal of Big Data
#112
of 164 outputs
Outputs of similar age
#158,365
of 262,666 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 13,622,595 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 262,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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