↓ Skip to main content

Coming of age: the artificial pancreas for type 1 diabetes

Overview of attention for article published in Diabetologia, June 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
41 news outlets
blogs
5 blogs
twitter
81 X users
patent
3 patents
facebook
14 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
185 Dimensions

Readers on

mendeley
274 Mendeley
citeulike
1 CiteULike
Title
Coming of age: the artificial pancreas for type 1 diabetes
Published in
Diabetologia, June 2016
DOI 10.1007/s00125-016-4022-4
Pubmed ID
Authors

Hood Thabit, Roman Hovorka

Abstract

The artificial pancreas (closed-loop system) addresses the unmet clinical need for improved glucose control whilst reducing the burden of diabetes self-care in type 1 diabetes. Glucose-responsive insulin delivery above and below a preset insulin amount informed by sensor glucose readings differentiates closed-loop systems from conventional, threshold-suspend and predictive-suspend insulin pump therapy. Insulin requirements in type 1 diabetes can vary between one-third-threefold on a daily basis. Closed-loop systems accommodate these variations and mitigate the risk of hypoglycaemia associated with tight glucose control. In this review we focus on the progress being made in the development and evaluation of closed-loop systems in outpatient settings. Randomised transitional studies have shown feasibility and efficacy of closed-loop systems under supervision or remote monitoring. Closed-loop application during free-living, unsupervised conditions by children, adolescents and adults compared with sensor-augmented pumps have shown improved glucose outcomes, reduced hypoglycaemia and positive user acceptance. Innovative approaches to enhance closed-loop performance are discussed and we also present the outlook and strategies used to ease clinical adoption of closed-loop systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 81 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 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 273 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 56 20%
Student > Ph. D. Student 40 15%
Researcher 40 15%
Student > Master 25 9%
Other 16 6%
Other 43 16%
Unknown 54 20%
Readers by discipline Count As %
Medicine and Dentistry 62 23%
Engineering 50 18%
Biochemistry, Genetics and Molecular Biology 22 8%
Computer Science 12 4%
Nursing and Health Professions 9 3%
Other 47 17%
Unknown 72 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 386. 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 30 January 2024.
All research outputs
#80,964
of 25,732,188 outputs
Outputs from Diabetologia
#65
of 5,376 outputs
Outputs of similar age
#1,684
of 368,129 outputs
Outputs of similar age from Diabetologia
#4
of 82 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.8. This one has done particularly well, scoring higher than 98% 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 368,129 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.