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Addressing Core Challenges for the Next Generation of Type 2 Translation Research and Systems: The Translation Science to Population Impact (TSci Impact) Framework

Overview of attention for article published in Prevention Science, February 2013
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
policy
3 policy sources
twitter
2 X users

Citations

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251 Dimensions

Readers on

mendeley
266 Mendeley
Title
Addressing Core Challenges for the Next Generation of Type 2 Translation Research and Systems: The Translation Science to Population Impact (TSci Impact) Framework
Published in
Prevention Science, February 2013
DOI 10.1007/s11121-012-0362-6
Pubmed ID
Authors

Richard Spoth, Louise A. Rohrbach, Mark Greenberg, Philip Leaf, C. Hendricks Brown, Abigail Fagan, Richard F. Catalano, Mary Ann Pentz, Zili Sloboda, J. David Hawkins, Society for Prevention Research Type 2 Translational Task Force Members and Contributing Authors

Abstract

Evidence-based preventive interventions developed over the past two decades represent great potential for enhancing public health and well-being. Research confirming the limited extent to which these interventions have been broadly and effectively implemented, however, indicates much progress is needed to achieve population-level impact. In part, progress requires Type 2 translation research that investigates the complex processes and systems through which evidence-based interventions are adopted, implemented, and sustained on a large scale, with a strong orientation toward devising empirically-driven strategies for increasing their population impact. In this article, we address two core challenges to the advancement of T2 translation research: (1) building infrastructure and capacity to support systems-oriented scaling up of evidence-based interventions, with well-integrated practice-oriented T2 research, and (2) developing an agenda and improving research methods for advancing T2 translation science. We also summarize a heuristic "Translation Science to Population Impact (TSci Impact) Framework." It articulates key considerations in addressing the core challenges, with three components that represent: (1) four phases of translation functions to be investigated (pre-adoption, adoption, implementation, and sustainability); (2) the multiple contexts in which translation occurs, ranging from community to national levels; and (3) necessary practice and research infrastructure supports. Discussion of the framework addresses the critical roles of practitioner-scientist partnerships and networks, governmental agencies and policies at all levels, plus financing partnerships and structures, all required for both infrastructure development and advances in the science. The article concludes with two sets of recommended action steps that could provide impetus for advancing the next generation of T2 translation science and, in turn, potentially enhance the health and well-being of subsequent generations of youth and families.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Netherlands 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
South Africa 1 <1%
Romania 1 <1%
Canada 1 <1%
Unknown 258 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 21%
Researcher 43 16%
Student > Doctoral Student 34 13%
Student > Master 25 9%
Student > Bachelor 13 5%
Other 43 16%
Unknown 51 19%
Readers by discipline Count As %
Social Sciences 63 24%
Psychology 62 23%
Medicine and Dentistry 23 9%
Nursing and Health Professions 12 5%
Business, Management and Accounting 7 3%
Other 27 10%
Unknown 72 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 24 May 2022.
All research outputs
#2,038,987
of 25,420,980 outputs
Outputs from Prevention Science
#118
of 1,142 outputs
Outputs of similar age
#16,011
of 205,025 outputs
Outputs of similar age from Prevention Science
#5
of 56 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 89% 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 205,025 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 92% of its contemporaries.
We're also able to compare this research output to 56 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.