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Indicators of "Healthy Aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival

Overview of attention for article published in BMC Geriatrics, August 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
2 blogs
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
161 Mendeley
citeulike
2 CiteULike
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Title
Indicators of "Healthy Aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival
Published in
BMC Geriatrics, August 2010
DOI 10.1186/1471-2318-10-55
Pubmed ID
Authors

William R Swindell, Kristine E Ensrud, Peggy M Cawthon, Jane A Cauley, Steve R Cummings, Richard A Miller, Study Of Osteoporotic Fractures Research Group

Abstract

Prediction of long-term survival in healthy adults requires recognition of features that serve as early indicators of successful aging. The aims of this study were to identify predictors of long-term survival in older women and to develop a multivariable model based upon longitudinal data from the Study of Osteoporotic Fractures (SOF).

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

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Canada 2 1%
Spain 2 1%
Japan 1 <1%
Unknown 154 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 14%
Student > Bachelor 22 14%
Student > Ph. D. Student 20 12%
Student > Master 17 11%
Student > Doctoral Student 13 8%
Other 35 22%
Unknown 32 20%
Readers by discipline Count As %
Medicine and Dentistry 41 25%
Psychology 15 9%
Nursing and Health Professions 14 9%
Computer Science 12 7%
Agricultural and Biological Sciences 11 7%
Other 26 16%
Unknown 42 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 29 July 2013.
All research outputs
#1,846,833
of 22,714,025 outputs
Outputs from BMC Geriatrics
#401
of 3,149 outputs
Outputs of similar age
#6,680
of 94,512 outputs
Outputs of similar age from BMC Geriatrics
#1
of 13 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,149 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 87% 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 94,512 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 92% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.