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A research utilisation framework for informing global health and development policies and programmes

Overview of attention for article published in Health Research Policy and Systems, February 2018
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
41 X users
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
116 Mendeley
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Title
A research utilisation framework for informing global health and development policies and programmes
Published in
Health Research Policy and Systems, February 2018
DOI 10.1186/s12961-018-0284-2
Pubmed ID
Authors

Christine Kim, Rose Wilcher, Tricia Petruney, Kirsten Krueger, Leigh Wynne, Trinity Zan

Abstract

A shift in the culture and practice of health and development research is required to maximise the real-world use of evidence by non-academic or non-research-oriented audiences. Many frameworks have been developed to guide and measure the research utilisation process, yet none have been widely applied. Some frameworks are simplified to an unrealistic linear representation while others are rendered overly complex and unusable in an attempt to capture all aspects of the research utilisation process. Additionally, many research utilisation frameworks have focused on the policy development process or within a clinical setting, with less application of the translation process at the programme level. In response to this gap - and drawing from over a decade of experience implementing research utilisation strategies - we developed a simple, four-phase framework to guide global health and development efforts that seek to apply evidence to policies and programmes. We present a detailed description of each phase in our framework, with examples of its relevance and application illustrated through our own case study experiences in global health. We believe the utility of this framework extends beyond the health sector and is relevant for maximising use of evidence to achieve the Sustainable Development Goals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 14%
Researcher 16 14%
Student > Master 12 10%
Other 10 9%
Student > Bachelor 9 8%
Other 20 17%
Unknown 33 28%
Readers by discipline Count As %
Social Sciences 25 22%
Medicine and Dentistry 15 13%
Nursing and Health Professions 8 7%
Environmental Science 4 3%
Business, Management and Accounting 3 3%
Other 14 12%
Unknown 47 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 15 March 2021.
All research outputs
#1,128,692
of 24,400,706 outputs
Outputs from Health Research Policy and Systems
#102
of 1,306 outputs
Outputs of similar age
#28,000
of 450,681 outputs
Outputs of similar age from Health Research Policy and Systems
#6
of 36 outputs
Altmetric has tracked 24,400,706 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,306 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done particularly well, scoring higher than 92% 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 450,681 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 93% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.