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Gender differences in the association of perceived social support and social network with self-rated health status among older adults: a population-based study in Brazil

Overview of attention for article published in BMC Geriatrics, November 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
137 Dimensions

Readers on

mendeley
247 Mendeley
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Title
Gender differences in the association of perceived social support and social network with self-rated health status among older adults: a population-based study in Brazil
Published in
BMC Geriatrics, November 2013
DOI 10.1186/1471-2318-13-122
Pubmed ID
Authors

Silvana C Caetano, Cosme MFP Silva, Mario V Vettore

Abstract

Older adults are more likely to live alone, because they may have been predeceased by their spouse and friends. Social interaction could also be reduced in this age group due by limited mobility caused by chronic conditions. Therefore, aging is frequently accompanied by reduced social support, which might affect health status. Little is known about the role of gender in the relationship between social support and health in older adults. Hence, the present study tests the hypothesis that gender differences exist in the relationship between perceived social support, social network, and self-rated health (SRH) among older adults.

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

Geographical breakdown

Country Count As %
United States 2 <1%
Portugal 1 <1%
Bangladesh 1 <1%
Brazil 1 <1%
Malaysia 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 239 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 17%
Researcher 39 16%
Student > Master 33 13%
Student > Doctoral Student 20 8%
Student > Bachelor 18 7%
Other 37 15%
Unknown 59 24%
Readers by discipline Count As %
Medicine and Dentistry 42 17%
Social Sciences 38 15%
Psychology 35 14%
Nursing and Health Professions 18 7%
Agricultural and Biological Sciences 6 2%
Other 32 13%
Unknown 76 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 17 September 2023.
All research outputs
#1,072,799
of 24,452,844 outputs
Outputs from BMC Geriatrics
#169
of 3,401 outputs
Outputs of similar age
#9,718
of 217,090 outputs
Outputs of similar age from BMC Geriatrics
#1
of 24 outputs
Altmetric has tracked 24,452,844 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 95% 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 217,090 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.