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Twitter Analysis of #OpenAPS DIY Artificial Pancreas Technology Use Suggests Improved A1C and Quality of Life

Overview of attention for article published in Journal of Diabetes Science & Technology, September 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 879)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
113 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Twitter Analysis of #OpenAPS DIY Artificial Pancreas Technology Use Suggests Improved A1C and Quality of Life
Published in
Journal of Diabetes Science & Technology, September 2018
DOI 10.1177/1932296818795705
Pubmed ID
Authors

Michelle L. Litchman, Dana Lewis, Lesly A. Kelly, Perry M. Gee

Abstract

Patient-driven innovation in diabetes management has resulted in a group of people with type 1 diabetes who choose to build and share knowledge around a do-it-yourself (DIY) open source artificial pancreas systems (OpenAPS). The purpose of this study was to examine Twitter data to understand how patients, caregivers, and care partners perceive OpenAPS, the personal and emotional ramifications of using OpenAPS, and the influence of OpenAPS on daily life. Qualitative netnography was used to analyze #OpenAPS on Twitter over a two-year period. There were 328 patients, caregivers, and care partners who generated 3347 tweets. One overarching theme, OpenAPS changes lives, and five subthemes emerged from the data: (1) OpenAPS use suggests self-reported A1C and glucose variability improvement, (2) OpenAPS improves sense of diabetes burden and quality of life, (3) OpenAPS is perceived as safe, (4) patient/caregiver-provider interaction related to OpenAPS, and (5) technology adaptation for user needs. As users of a patient-driven technology, OpenAPS users are self-reporting improved A1C, day-to-day glucose levels, and quality of life. Safety features important to individuals with diabetes are perceived to be embedded into OpenAPS technology. Twitter analysis provides insight on a patient population driving an innovative solution to improve their quality of diabetes care.

Twitter Demographics

The data shown below were collected from the profiles of 113 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Student > Ph. D. Student 1 33%
Unspecified 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Computer Science 1 33%
Medicine and Dentistry 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 153. 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 18 November 2018.
All research outputs
#77,327
of 12,189,308 outputs
Outputs from Journal of Diabetes Science & Technology
#12
of 879 outputs
Outputs of similar age
#3,425
of 236,050 outputs
Outputs of similar age from Journal of Diabetes Science & Technology
#1
of 14 outputs
Altmetric has tracked 12,189,308 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 879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 236,050 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 98% of its contemporaries.
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 has done particularly well, scoring higher than 92% of its contemporaries.