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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
6 news outlets
twitter
71 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
68 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

Twitter Demographics

The data shown below were collected from the profiles of 71 tweeters 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Ph. D. Student 10 15%
Student > Bachelor 9 13%
Researcher 5 7%
Professor 5 7%
Other 14 21%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 19 28%
Nursing and Health Professions 6 9%
Psychology 5 7%
Neuroscience 4 6%
Social Sciences 4 6%
Other 11 16%
Unknown 19 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 95. 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 08 November 2019.
All research outputs
#191,212
of 14,362,853 outputs
Outputs from The Lancet Global Health
#155
of 1,763 outputs
Outputs of similar age
#5,638
of 213,010 outputs
Outputs of similar age from The Lancet Global Health
#5
of 54 outputs
Altmetric has tracked 14,362,853 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,763 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.7. This one has done particularly well, scoring higher than 91% 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 213,010 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 97% of its contemporaries.
We're also able to compare this research output to 54 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 90% of its contemporaries.