↓ Skip to main content

An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment

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
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
1 X user
patent
2 patents
facebook
1 Facebook page

Readers on

mendeley
119 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
An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment
Published in
IEEE Journal of Biomedical and Health Informatics, July 2013
DOI 10.1109/jbhi.2013.2274479
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 119 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 %
India 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Student > Master 20 17%
Student > Bachelor 9 8%
Researcher 8 7%
Student > Doctoral Student 6 5%
Other 15 13%
Unknown 36 30%
Readers by discipline
Readers by discipline Count As %
Engineering 35 29%
Computer Science 25 21%
Medicine and Dentistry 9 8%
Nursing and Health Professions 5 4%
Psychology 2 2%
Other 4 3%
Unknown 39 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 15 February 2022.
All research outputs
#6,260,777
of 30,296,742 outputs
Outputs from IEEE Journal of Biomedical and Health Informatics
#325
of 1,630 outputs
Outputs of similar age
#45,749
of 221,728 outputs
Outputs of similar age from IEEE Journal of Biomedical and Health Informatics
#1
of 11 outputs
Altmetric has tracked 30,296,742 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,630 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 well, scoring higher than 79% 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 221,728 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 79% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.