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Exploring the use of research evidence in health-enhancing physical activity policies

Overview of attention for article published in Health Research Policy and Systems, October 2015
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  • Average Attention Score compared to outputs of the same age and source

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1 Redditor

Citations

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17 Dimensions

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69 Mendeley
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Title
Exploring the use of research evidence in health-enhancing physical activity policies
Published in
Health Research Policy and Systems, October 2015
DOI 10.1186/s12961-015-0047-2
Pubmed ID
Authors

Riitta-Maija Hämäläinen, Arja R. Aro, Ien van de Goor, Cathrine Juel Lau, Mette Winge Jakobsen, Razvan M. Chereches, Ahmed M Syed, On behalf of the REPOPA Consortium

Abstract

The gaps observed between the use of research evidence and policy have been reported to be based on the different methods of using research evidence in policymaking by researchers and actual policymakers. Some policies and policymaking processes may therefore be particularly well informed by research evidence compared to others. The aims of the present article are to explore the use of research evidence in health-enhancing physical activity (HEPA) policies, identify when research evidence was used, and find what other types of evidence were employed in HEPA policymaking. Multidisciplinary teams from six EU member states analysed the use of research evidence and other kinds of evidence in 21 HEPA policies and interviewed 86 key policymakers involved in the policies. Qualitative content analysis was conducted on both policy documents and interview data. Research evidence was mostly used to justify the creation of HEPA policies and, generally, implicitly without citation. The policies analysed used many types of evidence other than citable research. The evidence used in HEPA policies was found to fall into the following categories: societal framework, media, everyday knowledge and intuition, research evidence, and other types of evidence. Research evidence seems to be the only type of evidence used in policymaking. Competition between the use of other types of evidence and research evidence is constant due to the various sources of information on the Internet and elsewhere. However, researchers need to understand their role in translating research evidence into policymaking processes.

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X Demographics

The data shown below were collected from the profiles of 5 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Romania 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Researcher 8 12%
Student > Bachelor 7 10%
Student > Master 6 9%
Librarian 4 6%
Other 14 20%
Unknown 16 23%
Readers by discipline Count As %
Medicine and Dentistry 14 20%
Social Sciences 12 17%
Nursing and Health Professions 11 16%
Sports and Recreations 4 6%
Psychology 3 4%
Other 10 14%
Unknown 15 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 11 January 2016.
All research outputs
#6,108,695
of 22,830,751 outputs
Outputs from Health Research Policy and Systems
#716
of 1,215 outputs
Outputs of similar age
#74,692
of 279,229 outputs
Outputs of similar age from Health Research Policy and Systems
#11
of 24 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 279,229 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.