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Automatically determining cause of death from verbal autopsy narratives

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Automatically determining cause of death from verbal autopsy narratives
Published in
BMC Medical Informatics and Decision Making, July 2019
DOI 10.1186/s12911-019-0841-9
Pubmed ID
Authors

Serena Jeblee, Mireille Gomes, Prabhat Jha, Frank Rudzicz, Graeme Hirst

Twitter Demographics

The data shown below were collected from the profiles of 3 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Student > Master 7 16%
Student > Bachelor 6 13%
Researcher 5 11%
Student > Doctoral Student 4 9%
Other 6 13%
Unknown 10 22%
Readers by discipline Count As %
Medicine and Dentistry 13 29%
Computer Science 6 13%
Nursing and Health Professions 3 7%
Psychology 2 4%
Agricultural and Biological Sciences 1 2%
Other 6 13%
Unknown 14 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 April 2020.
All research outputs
#13,291,172
of 21,415,362 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,056
of 1,876 outputs
Outputs of similar age
#154,626
of 282,933 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 5 outputs
Altmetric has tracked 21,415,362 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,876 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 43rd percentile – i.e., 43% 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 282,933 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.