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Designing verbal autopsy studies

Overview of attention for article published in Population Health Metrics, June 2010
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
81 Mendeley
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Title
Designing verbal autopsy studies
Published in
Population Health Metrics, June 2010
DOI 10.1186/1478-7954-8-19
Pubmed ID
Authors

Gary King, Ying Lu, Kenji Shibuya

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
France 1 1%
South Africa 1 1%
Vietnam 1 1%
Denmark 1 1%
Belgium 1 1%
Unknown 74 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 25%
Researcher 18 22%
Student > Master 16 20%
Student > Postgraduate 6 7%
Student > Doctoral Student 4 5%
Other 16 20%
Unknown 1 1%
Readers by discipline Count As %
Medicine and Dentistry 22 27%
Social Sciences 21 26%
Agricultural and Biological Sciences 10 12%
Computer Science 5 6%
Economics, Econometrics and Finance 5 6%
Other 16 20%
Unknown 2 2%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 March 2018.
All research outputs
#7,934,253
of 23,885,338 outputs
Outputs from Population Health Metrics
#218
of 394 outputs
Outputs of similar age
#34,878
of 96,422 outputs
Outputs of similar age from Population Health Metrics
#7
of 8 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 394 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 37th percentile – i.e., 37% 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 96,422 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.