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Population attributable fractions for risk factors for dementia in low-income and middle-income countries: an analysis using cross-sectional survey data

Overview of attention for article published in The Lancet Global Health, May 2019
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
17 news outlets
policy
1 policy source
twitter
70 X users

Citations

dimensions_citation
259 Dimensions

Readers on

mendeley
403 Mendeley
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Title
Population attributable fractions for risk factors for dementia in low-income and middle-income countries: an analysis using cross-sectional survey data
Published in
The Lancet Global Health, May 2019
DOI 10.1016/s2214-109x(19)30074-9
Pubmed ID
Authors

Naaheed Mukadam, Andrew Sommerlad, Jonathan Huntley, Gill Livingston

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 X users 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 403 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 403 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 12%
Student > Master 38 9%
Student > Bachelor 34 8%
Researcher 33 8%
Other 22 5%
Other 71 18%
Unknown 155 38%
Readers by discipline Count As %
Medicine and Dentistry 68 17%
Nursing and Health Professions 34 8%
Neuroscience 30 7%
Psychology 25 6%
Social Sciences 15 4%
Other 56 14%
Unknown 175 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 177. 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 April 2023.
All research outputs
#231,820
of 25,708,267 outputs
Outputs from The Lancet Global Health
#208
of 3,218 outputs
Outputs of similar age
#4,700
of 364,411 outputs
Outputs of similar age from The Lancet Global Health
#5
of 83 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,218 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.1. This one has done particularly well, scoring higher than 93% 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 364,411 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 98% of its contemporaries.
We're also able to compare this research output to 83 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 93% of its contemporaries.