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Feasibility of fully automated closed-loop glucose control using continuous subcutaneous glucose measurements in critical illness: a randomized controlled trial

Overview of attention for article published in Critical Care, July 2013
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1 X user
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1 research highlight platform

Citations

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102 Dimensions

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122 Mendeley
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Title
Feasibility of fully automated closed-loop glucose control using continuous subcutaneous glucose measurements in critical illness: a randomized controlled trial
Published in
Critical Care, July 2013
DOI 10.1186/cc12838
Pubmed ID
Authors

Lalantha Leelarathna, Shane W English, Hood Thabit, Karen Caldwell, Janet M Allen, Kavita Kumareswaran, Malgorzata E Wilinska, Marianna Nodale, Jasdip Mangat, Mark L Evans, Rowan Burnstein, Roman Hovorka

Abstract

Closed-loop (CL) systems modulate insulin delivery according to glucose levels without nurse input. In a prospective randomized controlled trial, we evaluated the feasibility of an automated closed-loop approach based on subcutaneous glucose measurements in comparison with a local sliding-scale insulin-therapy protocol.

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
New Zealand 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 118 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 16%
Other 14 11%
Student > Master 13 11%
Researcher 11 9%
Student > Bachelor 10 8%
Other 28 23%
Unknown 26 21%
Readers by discipline Count As %
Medicine and Dentistry 50 41%
Nursing and Health Professions 10 8%
Engineering 10 8%
Biochemistry, Genetics and Molecular Biology 6 5%
Social Sciences 3 2%
Other 12 10%
Unknown 31 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 September 2013.
All research outputs
#16,048,318
of 25,374,917 outputs
Outputs from Critical Care
#5,211
of 6,554 outputs
Outputs of similar age
#121,307
of 209,585 outputs
Outputs of similar age from Critical Care
#60
of 104 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 18th percentile – i.e., 18% 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 209,585 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.