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Local differential privacy for human-centered computing

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
16 Mendeley
Title
Local differential privacy for human-centered computing
Published in
EURASIP Journal on Wireless Communications and Networking, March 2020
DOI 10.1186/s13638-020-01675-8
Authors

Xianjin Fang, Qingkui Zeng, Gaoming Yang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Student > Postgraduate 2 13%
Student > Master 1 6%
Student > Bachelor 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 8 50%
Readers by discipline Count As %
Computer Science 5 31%
Nursing and Health Professions 1 6%
Social Sciences 1 6%
Unknown 9 56%
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 23 August 2023.
All research outputs
#8,540,769
of 25,387,668 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#104
of 549 outputs
Outputs of similar age
#164,761
of 404,770 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#3
of 6 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 53% 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 404,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.