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Automated verbal autopsy: from research to routine use in civil registration and vital statistics systems

Overview of attention for article published in BMC Medicine, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
69 Mendeley
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Title
Automated verbal autopsy: from research to routine use in civil registration and vital statistics systems
Published in
BMC Medicine, March 2020
DOI 10.1186/s12916-020-01520-1
Pubmed ID
Authors

Riley H. Hazard, Mahesh P. K. Buddhika, John D. Hart, Hafizur R. Chowdhury, Sonja Firth, Rohina Joshi, Ferchito Avelino, Agnes Segarra, Deborah Carmina Sarmiento, Abdul Kalam Azad, Shah Ali Akbar Ashrafi, Khin Sandar Bo, Violoa Kwa, Alan D. Lopez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 12%
Student > Ph. D. Student 7 10%
Student > Master 7 10%
Lecturer 6 9%
Student > Bachelor 5 7%
Other 13 19%
Unknown 23 33%
Readers by discipline Count As %
Medicine and Dentistry 17 25%
Nursing and Health Professions 7 10%
Social Sciences 5 7%
Economics, Econometrics and Finance 3 4%
Agricultural and Biological Sciences 2 3%
Other 9 13%
Unknown 26 38%
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 03 December 2023.
All research outputs
#8,496,461
of 25,345,468 outputs
Outputs from BMC Medicine
#2,984
of 3,992 outputs
Outputs of similar age
#147,644
of 369,414 outputs
Outputs of similar age from BMC Medicine
#59
of 76 outputs
Altmetric has tracked 25,345,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,992 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.5. This one is in the 23rd percentile – i.e., 23% 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 369,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.