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Smart Home-Based Health Platform for Behavioral Monitoring and Alteration of Diabetes Patients

Overview of attention for article published in Journal of Diabetes Science and Technology, January 2009
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180 Mendeley
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Article details
Title
Smart Home-Based Health Platform for Behavioral Monitoring and Alteration of Diabetes Patients
Published in
Journal of Diabetes Science and Technology, January 2009
DOI 10.1177/193229680900300115
Pubmed ID
Authors
Abstract

Researchers and medical practitioners have long sought the ability to continuously and automatically monitor patients beyond the confines of a doctor's office. We describe a smart home monitoring and analysis platform that facilitates the automatic gathering of rich databases of behavioral information in a manner that is transparent to the patient. Collected information will be automatically or manually analyzed and reported to the caregivers and may be interpreted for behavioral modification in the patient.

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Timeline Attention over time Attention Score history
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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 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 3 2%
United States 2 1%
Bangladesh 2 1%
Netherlands 1 <1%
Luxembourg 1 <1%
Korea, Republic of 1 <1%
Italy 1 <1%
Finland 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 166 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 50 28%
Researcher 25 14%
Student > Master 21 12%
Student > Bachelor 16 9%
Student > Doctoral Student 9 5%
Other 29 16%
Unknown 30 17%
Readers by discipline
Readers by discipline Count As %
Computer Science 62 34%
Engineering 22 12%
Medicine and Dentistry 12 7%
Social Sciences 11 6%
Nursing and Health Professions 8 4%
Other 27 15%
Unknown 38 21%
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 02 January 2014.
All research outputs
#19,158,240
of 27,783,697 outputs
Outputs from Journal of Diabetes Science and Technology
#684
of 809 outputs
Outputs of similar age
#172,058
of 198,849 outputs
Outputs of similar age from Journal of Diabetes Science and Technology
#14
of 14 outputs
Altmetric has tracked 27,783,697 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 9th percentile – i.e., 9% 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 198,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.