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Capturing changes in dietary patterns among older adults: a latent class analysis of an ageing Irish cohort

Overview of attention for article published in Public Health Nutrition, February 2014
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Mentioned by

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3 X users

Citations

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49 Dimensions

Readers on

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95 Mendeley
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Title
Capturing changes in dietary patterns among older adults: a latent class analysis of an ageing Irish cohort
Published in
Public Health Nutrition, February 2014
DOI 10.1017/s1368980014000111
Pubmed ID
Authors

Janas M Harrington, Darren L Dahly, Anthony P Fitzgerald, Mark S Gilthorpe, Ivan J Perry

Abstract

Data-driven approaches to dietary patterns are under-utilized; latent class analyses (LCA) are particularly rare. The present study used an LCA to identify subgroups of people with similar dietary patterns, explore changes in dietary patterns over a 10-year period and relate these dynamics to sociodemographic factors and health outcomes.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Ireland 1 1%
Luxembourg 1 1%
Switzerland 1 1%
Unknown 91 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Student > Bachelor 15 16%
Student > Master 12 13%
Researcher 7 7%
Lecturer 7 7%
Other 16 17%
Unknown 18 19%
Readers by discipline Count As %
Medicine and Dentistry 24 25%
Nursing and Health Professions 15 16%
Agricultural and Biological Sciences 7 7%
Social Sciences 7 7%
Business, Management and Accounting 4 4%
Other 13 14%
Unknown 25 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 April 2014.
All research outputs
#15,475,508
of 26,420,475 outputs
Outputs from Public Health Nutrition
#2,728
of 3,978 outputs
Outputs of similar age
#119,560
of 235,624 outputs
Outputs of similar age from Public Health Nutrition
#26
of 37 outputs
Altmetric has tracked 26,420,475 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 30th percentile – i.e., 30% 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 235,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.