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Feasibility of multi-sector policy measures that create activity-friendly environments for children: results of a Delphi study

Overview of attention for article published in Implementation Science, December 2011
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1 X user

Citations

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18 Dimensions

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100 Mendeley
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Title
Feasibility of multi-sector policy measures that create activity-friendly environments for children: results of a Delphi study
Published in
Implementation Science, December 2011
DOI 10.1186/1748-5908-6-128
Pubmed ID
Authors

Marie-Jeanne Aarts, Albertine J Schuit, Ien AM van de Goor, Hans AM van Oers

Abstract

Although multi-sector policy is a promising strategy to create environments that stimulate physical activity among children, little is known about the feasibility of such a multi-sector policy approach. The aims of this study were: to identify a set of tangible (multi-sector) policy measures at the local level that address environmental characteristics related to physical activity among children; and to assess the feasibility of these measures, as perceived by local policy makers.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Brazil 1 1%
Unknown 97 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 19%
Student > Ph. D. Student 16 16%
Student > Bachelor 10 10%
Researcher 8 8%
Student > Doctoral Student 6 6%
Other 17 17%
Unknown 24 24%
Readers by discipline Count As %
Social Sciences 22 22%
Medicine and Dentistry 15 15%
Nursing and Health Professions 13 13%
Sports and Recreations 8 8%
Psychology 3 3%
Other 11 11%
Unknown 28 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 December 2011.
All research outputs
#19,918,349
of 25,374,647 outputs
Outputs from Implementation Science
#1,708
of 1,809 outputs
Outputs of similar age
#199,732
of 249,049 outputs
Outputs of similar age from Implementation Science
#12
of 18 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 5th percentile – i.e., 5% 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 249,049 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.