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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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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
1 tweeter

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
37 Mendeley

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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
23379351
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.

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Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Iceland 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 30%
Researcher 9 24%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Professor 2 5%
Other 7 19%
Unknown 3 8%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Psychology 7 19%
Social Sciences 5 14%
Nursing and Health Professions 3 8%
Computer Science 3 8%
Other 4 11%
Unknown 6 16%

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 25 January 2019.
All research outputs
#4,150,236
of 14,189,288 outputs
Outputs from BMC Public Health
#4,657
of 9,771 outputs
Outputs of similar age
#67,896
of 242,760 outputs
Outputs of similar age from BMC Public Health
#12
of 23 outputs
Altmetric has tracked 14,189,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 9,771 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 242,760 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 71% of its contemporaries.
We're also able to compare this research output to 23 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.

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