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Do healthcare needs-based population segments predict outcomes among the elderly? Findings from a prospective cohort study in an urbanized low-income community

Overview of attention for article published in BMC Geriatrics, February 2020
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Do healthcare needs-based population segments predict outcomes among the elderly? Findings from a prospective cohort study in an urbanized low-income community
Published in
BMC Geriatrics, February 2020
DOI 10.1186/s12877-020-1480-9
Pubmed ID
Authors

Jia Loon Chong, Lian Leng Low, David Bruce Matchar, Rahul Malhotra, Kheng Hock Lee, Julian Thumboo, Angelique Wei-Ming Chan

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

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Professor 3 9%
Student > Bachelor 3 9%
Lecturer 2 6%
Student > Master 2 6%
Other 6 19%
Unknown 11 34%
Readers by discipline Count As %
Medicine and Dentistry 7 22%
Nursing and Health Professions 6 19%
Social Sciences 3 9%
Psychology 2 6%
Decision Sciences 1 3%
Other 3 9%
Unknown 10 31%

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 10 March 2020.
All research outputs
#13,866,994
of 17,381,824 outputs
Outputs from BMC Geriatrics
#1,814
of 2,093 outputs
Outputs of similar age
#209,601
of 284,888 outputs
Outputs of similar age from BMC Geriatrics
#1
of 1 outputs
Altmetric has tracked 17,381,824 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,093 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 6th percentile – i.e., 6% 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 284,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them