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Association between body mass index and health-related quality of life, and the impact of self-reported long-term conditions – cross-sectional study from the south Yorkshire cohort dataset

Overview of attention for article published in BMC Public Health, October 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
113 Mendeley
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Title
Association between body mass index and health-related quality of life, and the impact of self-reported long-term conditions – cross-sectional study from the south Yorkshire cohort dataset
Published in
BMC Public Health, October 2013
DOI 10.1186/1471-2458-13-1009
Pubmed ID
Authors

Benjamin Kearns, Roberta Ara, Tracey Young, Clare Relton

Abstract

We sought to quantify the relationship between body mass index (BMI) and health-related quality (HRQoL) of life, as measured by the EQ-5D, whilst controlling for potential confounders. In addition, we hypothesised that certain long-term conditions (LTCs), for which being overweight or obese is a known risk factor, may mediate the association between BMI and HRQoL. Hence the aim of our study was to explore the association between BMI and HRQoL, first controlling for confounders and then exploring the potential impact of LTCs.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Mexico 1 <1%
Ghana 1 <1%
Australia 1 <1%
Unknown 109 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 22%
Student > Bachelor 22 19%
Student > Ph. D. Student 14 12%
Researcher 12 11%
Student > Doctoral Student 5 4%
Other 16 14%
Unknown 19 17%
Readers by discipline Count As %
Medicine and Dentistry 37 33%
Nursing and Health Professions 16 14%
Psychology 12 11%
Social Sciences 5 4%
Agricultural and Biological Sciences 4 4%
Other 15 13%
Unknown 24 21%

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 08 June 2015.
All research outputs
#6,278,214
of 12,372,633 outputs
Outputs from BMC Public Health
#4,417
of 8,418 outputs
Outputs of similar age
#63,045
of 172,194 outputs
Outputs of similar age from BMC Public Health
#566
of 1,062 outputs
Altmetric has tracked 12,372,633 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 46th percentile – i.e., 46% 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 172,194 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 62% of its contemporaries.
We're also able to compare this research output to 1,062 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.