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Implementing nutrition guidelines for older people in residential care homes: a qualitative study using Normalization Process Theory

Overview of attention for article published in Implementation Science, October 2012
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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7 X users
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1 Facebook page

Citations

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58 Dimensions

Readers on

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188 Mendeley
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Title
Implementing nutrition guidelines for older people in residential care homes: a qualitative study using Normalization Process Theory
Published in
Implementation Science, October 2012
DOI 10.1186/1748-5908-7-106
Pubmed ID
Authors

Claire Bamford, Ben Heaven, Carl May, Paula Moynihan

Abstract

Optimizing the dietary intake of older people can prevent nutritional deficiencies and diet-related diseases, thereby improving quality of life. However, there is evidence that the nutritional intake of older people living in care homes is suboptimal, with high levels of saturated fat, salt, and added sugars. The UK Food Standards Agency therefore developed nutrient- and food-based guidance for residential care homes. The acceptability of these guidelines and their feasibility in practice is unknown. This study used the Normalization Process Theory (NPT) to understand the barriers and facilitators to implementing the guidelines and inform future implementation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Argentina 1 <1%
Australia 1 <1%
Unknown 184 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 16%
Student > Ph. D. Student 30 16%
Researcher 23 12%
Student > Bachelor 15 8%
Student > Doctoral Student 13 7%
Other 30 16%
Unknown 46 24%
Readers by discipline Count As %
Medicine and Dentistry 38 20%
Nursing and Health Professions 25 13%
Social Sciences 24 13%
Psychology 17 9%
Agricultural and Biological Sciences 7 4%
Other 23 12%
Unknown 54 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 November 2012.
All research outputs
#7,778,510
of 25,374,647 outputs
Outputs from Implementation Science
#1,211
of 1,809 outputs
Outputs of similar age
#59,418
of 202,137 outputs
Outputs of similar age from Implementation Science
#16
of 28 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
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 32nd percentile – i.e., 32% 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 202,137 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 70% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.