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Twitter Demographics
Mendeley readers
Attention Score in Context
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. |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 3 | 75% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 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 | 85 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 22% |
Student > Bachelor | 15 | 17% |
Student > Master | 11 | 12% |
Researcher | 7 | 8% |
Lecturer | 6 | 7% |
Other | 15 | 17% |
Unknown | 15 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 27% |
Nursing and Health Professions | 15 | 17% |
Agricultural and Biological Sciences | 7 | 8% |
Social Sciences | 6 | 7% |
Business, Management and Accounting | 3 | 3% |
Other | 11 | 12% |
Unknown | 23 | 26% |
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
#13,312,389
of 23,577,761 outputs
Outputs from Public Health Nutrition
#2,406
of 3,659 outputs
Outputs of similar age
#106,066
of 222,427 outputs
Outputs of similar age from Public Health Nutrition
#20
of 33 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,659 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one is in the 34th percentile – i.e., 34% 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 222,427 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 52% of its contemporaries.
We're also able to compare this research output to 33 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.