↓ Skip to main content

Privacy-Preserving Clinical Decision Support System Using Gaussian Kernel-Based Classification

Overview of attention for article published in IEEE Journal of Biomedical and Health Informatics, July 2013
Altmetric Badge

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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
1 X user
patent
4 patents

Readers on

mendeley
74 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Privacy-Preserving Clinical Decision Support System Using Gaussian Kernel-Based Classification
Published in
IEEE Journal of Biomedical and Health Informatics, July 2013
DOI 10.1109/jbhi.2013.2274899
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Brazil 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Student > Master 13 18%
Researcher 8 11%
Student > Bachelor 7 9%
Other 4 5%
Other 9 12%
Unknown 16 22%
Readers by discipline
Readers by discipline Count As %
Computer Science 23 31%
Medicine and Dentistry 5 7%
Nursing and Health Professions 4 5%
Business, Management and Accounting 3 4%
Social Sciences 3 4%
Other 11 15%
Unknown 25 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 26 November 2020.
All research outputs
#4,818,491
of 33,276,949 outputs
Outputs from IEEE Journal of Biomedical and Health Informatics
#173
of 1,864 outputs
Outputs of similar age
#35,420
of 235,260 outputs
Outputs of similar age from IEEE Journal of Biomedical and Health Informatics
#1
of 10 outputs
Altmetric has tracked 33,276,949 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,864 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 90% 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 235,260 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 85% 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 all of them