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Socioeconomic factors from midlife predict mobility limitation and depressed mood three decades later; Findings from the AGES-Reykjavik Study

Overview of attention for article published in BMC Public Health, February 2013
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1 X user

Citations

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Title
Socioeconomic factors from midlife predict mobility limitation and depressed mood three decades later; Findings from the AGES-Reykjavik Study
Published in
BMC Public Health, February 2013
DOI 10.1186/1471-2458-13-101
Pubmed ID
Authors

Daniëlle AI Groffen, Annemarie Koster, Hans Bosma, Marjan van den Akker, Thor Aspelund, Kristín Siggeirsdóttir, Gertrudis IJM Kempen, Jacques ThM van Eijk, Gudny Eiriksdottir, Pálmi V Jónsson, Lenore J Launer, Vilmundur Gudnason, Tamara B Harris

Abstract

Taking into account our rapidly ageing population, older people are of particular interest in studying health inequalities. Most studies of older persons only include measures of current socioeconomic status (SES) and do not take into account data from earlier stages of life. In addition, only classic SES measures are used, while alternative measures, such as car ownership and house ownership, might equally well predict health. The present study aims to examine the effect of midlife socioeconomic factors on mobility limitation and depressed mood three decades later.

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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Iceland 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Researcher 9 20%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 2 5%
Other 8 18%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 11 25%
Psychology 7 16%
Social Sciences 5 11%
Nursing and Health Professions 3 7%
Computer Science 3 7%
Other 5 11%
Unknown 10 23%
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 05 February 2013.
All research outputs
#21,864,686
of 24,397,600 outputs
Outputs from BMC Public Health
#15,091
of 16,120 outputs
Outputs of similar age
#258,959
of 291,712 outputs
Outputs of similar age from BMC Public Health
#274
of 279 outputs
Altmetric has tracked 24,397,600 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 1st percentile – i.e., 1% 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 291,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.