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Knowledge translation within a population health study: how do you do it?

Overview of attention for article published in Implementation Science, May 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

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27 X users
facebook
2 Facebook pages

Citations

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79 Dimensions

Readers on

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303 Mendeley
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Title
Knowledge translation within a population health study: how do you do it?
Published in
Implementation Science, May 2013
DOI 10.1186/1748-5908-8-54
Pubmed ID
Authors

Alison Kitson, Kathryn Powell, Elizabeth Hoon, Jonathan Newbury, Anne Wilson, Justin Beilby

Abstract

Despite the considerable and growing body of knowledge translation (KT) literature, there are few methodologies sufficiently detailed to guide an integrated KT research approach for a population health study. This paper argues for a clearly articulated collaborative KT approach to be embedded within the research design from the outset.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 3 <1%
United Kingdom 3 <1%
Canada 3 <1%
Israel 1 <1%
New Zealand 1 <1%
Argentina 1 <1%
United States 1 <1%
Unknown 290 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 18%
Student > Ph. D. Student 43 14%
Student > Master 43 14%
Student > Doctoral Student 26 9%
Student > Bachelor 17 6%
Other 64 21%
Unknown 54 18%
Readers by discipline Count As %
Social Sciences 58 19%
Medicine and Dentistry 42 14%
Nursing and Health Professions 35 12%
Psychology 32 11%
Business, Management and Accounting 18 6%
Other 52 17%
Unknown 66 22%
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 13 April 2018.
All research outputs
#1,865,823
of 24,081,774 outputs
Outputs from Implementation Science
#374
of 1,751 outputs
Outputs of similar age
#15,714
of 198,475 outputs
Outputs of similar age from Implementation Science
#4
of 40 outputs
Altmetric has tracked 24,081,774 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,751 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 78% 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 198,475 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 40 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.