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Privacy and information security risks in a technology platform for home-based chronic disease rehabilitation and education

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2013
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Title
Privacy and information security risks in a technology platform for home-based chronic disease rehabilitation and education
Published in
BMC Medical Informatics and Decision Making, August 2013
DOI 10.1186/1472-6947-13-85
Pubmed ID
Authors

Eva Henriksen, Tatjana M Burkow, Elin Johnsen, Lars K Vognild

Abstract

Privacy and information security are important for all healthcare services, including home-based services. We have designed and implemented a prototype technology platform for providing home-based healthcare services. It supports a personal electronic health diary and enables secure and reliable communication and interaction with peers and healthcare personnel. The platform runs on a small computer with a dedicated remote control. It is connected to the patient's TV and to a broadband Internet. The platform has been tested with home-based rehabilitation and education programs for chronic obstructive pulmonary disease and diabetes. As part of our work, a risk assessment of privacy and security aspects has been performed, to reveal actual risks and to ensure adequate information security in this technical platform.

X Demographics

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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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
Brazil 1 <1%
Italy 1 <1%
India 1 <1%
United States 1 <1%
Unknown 179 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 22%
Student > Ph. D. Student 28 15%
Researcher 20 11%
Student > Doctoral Student 11 6%
Student > Bachelor 10 5%
Other 33 18%
Unknown 43 23%
Readers by discipline Count As %
Computer Science 31 17%
Medicine and Dentistry 27 15%
Nursing and Health Professions 20 11%
Psychology 11 6%
Social Sciences 10 5%
Other 32 17%
Unknown 54 29%
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 12 August 2013.
All research outputs
#18,343,746
of 22,716,996 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,565
of 1,982 outputs
Outputs of similar age
#147,749
of 197,313 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#37
of 42 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. 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 197,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 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.