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Development of the Intercultural Diabetes Online Community Research Council: Codesign and Social Media Processes

Overview of attention for article published in Journal of Diabetes Science and Technology, January 2019
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
16 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
76 Mendeley
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Title
Development of the Intercultural Diabetes Online Community Research Council: Codesign and Social Media Processes
Published in
Journal of Diabetes Science and Technology, January 2019
DOI 10.1177/1932296818818455
Pubmed ID
Authors

Deborah A. Greenwood, Michelle L. Litchman, Ashley H. Ng, Perry M. Gee, Heather M. Young, Mila Ferrer, Jimmy Ferrer, Chris E. Memering, Barbara Eichorst, Renza Scibilia, Lisa M. S. Miller

Abstract

This case study describes the formation of the Intercultural Diabetes Online Community Research council (iDOCr) and community advisory board (CAB) to engage the diabetes community and researchers in the codesign of community-based participatory research (CBPR) to examine online peer support in type 2 diabetes (T2D). Social media engagement was the foundation for CBPR knowledge generation. During the project, the iDOCr council and CAB (n = 27) met quarterly via video conferencing and three times in person during national diabetes meetings. Data from four Twitter chats were used to explore the usefulness and utility of Twitter data to learn about concerns and priorities of the diabetes online community (DOC) and supported the evolution of iDOCr, the development of a research question and the design of a CBPR study. The iDOCr project (1) created a diverse CAB; (2) raised awareness of iDOCr and online peer support, which resulted in support and trust from key opinion leaders within the DOC to enable future partnerships for research and funding; (3) engaged with English- and Spanish-speaking DOC users through social media; and (4) designed a CBPR study supported by Twitter chat data analyses. Integrating the voice of people with diabetes (PWD) and the DOC in designing CBPR, through use of a CAB, ensures the most important and relevant research questions are asked. Additional research focused on online peer support may increase health care provider confidence in referring PWD to this low-cost and relatively accessible resource with the potential power to advance health.

Twitter Demographics

The data shown below were collected from the profiles of 16 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 12%
Student > Master 9 12%
Student > Ph. D. Student 7 9%
Student > Doctoral Student 6 8%
Student > Bachelor 6 8%
Other 13 17%
Unknown 26 34%
Readers by discipline Count As %
Nursing and Health Professions 11 14%
Medicine and Dentistry 9 12%
Social Sciences 6 8%
Engineering 3 4%
Psychology 3 4%
Other 13 17%
Unknown 31 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 January 2019.
All research outputs
#2,310,070
of 20,597,902 outputs
Outputs from Journal of Diabetes Science and Technology
#194
of 1,443 outputs
Outputs of similar age
#67,811
of 414,467 outputs
Outputs of similar age from Journal of Diabetes Science and Technology
#1
of 13 outputs
Altmetric has tracked 20,597,902 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done well, scoring higher than 86% 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 414,467 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 83% 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 particularly well, scoring higher than 99% of its contemporaries.