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Introducing the use of depth data for fall detection

Overview of attention for article published in Personal and Ubiquitous Computing, May 2012
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Mentioned by

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1 X user
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1 Facebook page

Citations

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88 Dimensions

Readers on

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111 Mendeley
Title
Introducing the use of depth data for fall detection
Published in
Personal and Ubiquitous Computing, May 2012
DOI 10.1007/s00779-012-0552-z
Authors

Rainer Planinc, Martin Kampel

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
Slovenia 2 2%
Turkey 1 <1%
Austria 1 <1%
Unknown 104 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 27%
Student > Master 18 16%
Researcher 14 13%
Student > Bachelor 14 13%
Student > Doctoral Student 6 5%
Other 12 11%
Unknown 17 15%
Readers by discipline Count As %
Computer Science 47 42%
Engineering 27 24%
Medicine and Dentistry 5 5%
Social Sciences 3 3%
Design 2 2%
Other 6 5%
Unknown 21 19%
Attention Score in Context

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 24 August 2013.
All research outputs
#17,657,116
of 22,665,794 outputs
Outputs from Personal and Ubiquitous Computing
#589
of 1,187 outputs
Outputs of similar age
#121,694
of 163,463 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#12
of 52 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,187 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 26th percentile – i.e., 26% 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 163,463 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.