↓ Skip to main content

Performance assessment of a closed-loop system for diabetes management

Overview of attention for article published in Medical & Biological Engineering & Computing, February 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
8 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
146 Mendeley
citeulike
1 CiteULike
Title
Performance assessment of a closed-loop system for diabetes management
Published in
Medical & Biological Engineering & Computing, February 2015
DOI 10.1007/s11517-015-1245-3
Pubmed ID
Authors

A. Martinez-Millana, G. Fico, C. Fernández-Llatas, V. Traver

Abstract

Telemedicine systems can play an important role in the management of diabetes, a chronic condition that is increasing worldwide. Evaluations on the consistency of information across these systems and on their performance in a real situation are still missing. This paper presents a remote monitoring system for diabetes management based on physiological sensors, mobile technologies and patient/doctor applications over a service-oriented architecture that has been evaluated in an international trial (83,905 operation records). The proposed system integrates three types of running environments and data engines in a single service-oriented architecture. This feature is used to assess key performance indicators comparing them with other type of architectures. Data sustainability across the applications has been evaluated showing better outcomes for full integrated sensors. At the same time, runtime performance of clients has been assessed spotting no differences regarding the operative environment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 145 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 21%
Student > Ph. D. Student 17 12%
Student > Doctoral Student 16 11%
Student > Bachelor 16 11%
Researcher 12 8%
Other 28 19%
Unknown 27 18%
Readers by discipline Count As %
Medicine and Dentistry 34 23%
Nursing and Health Professions 17 12%
Computer Science 14 10%
Engineering 14 10%
Psychology 7 5%
Other 24 16%
Unknown 36 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 July 2015.
All research outputs
#4,255,221
of 25,374,917 outputs
Outputs from Medical & Biological Engineering & Computing
#137
of 2,053 outputs
Outputs of similar age
#58,038
of 367,188 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#3
of 13 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 93% 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 367,188 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 84% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.