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A generative co-design framework for healthcare innovation: development and application of an end-user engagement framework

Overview of attention for article published in Research Involvement and Engagement, March 2021
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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 (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
16 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
253 Mendeley
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Title
A generative co-design framework for healthcare innovation: development and application of an end-user engagement framework
Published in
Research Involvement and Engagement, March 2021
DOI 10.1186/s40900-021-00252-7
Pubmed ID
Authors

M. Bird, M. McGillion, E. M. Chambers, J. Dix, C. J. Fajardo, M. Gilmour, K. Levesque, A. Lim, S. Mierdel, C. Ouellette, A. N. Polanski, S. V. Reaume, C. Whitmore, N. Carter

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 253 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 16%
Student > Master 28 11%
Researcher 24 9%
Other 15 6%
Professor 7 3%
Other 39 15%
Unknown 100 40%
Readers by discipline Count As %
Nursing and Health Professions 35 14%
Social Sciences 17 7%
Medicine and Dentistry 17 7%
Design 13 5%
Business, Management and Accounting 12 5%
Other 48 19%
Unknown 111 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 June 2023.
All research outputs
#2,528,315
of 24,981,585 outputs
Outputs from Research Involvement and Engagement
#218
of 482 outputs
Outputs of similar age
#64,163
of 427,381 outputs
Outputs of similar age from Research Involvement and Engagement
#8
of 13 outputs
Altmetric has tracked 24,981,585 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 482 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has gotten more attention than average, scoring higher than 54% 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 427,381 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 is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.