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.
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.
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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.