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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India
|
---|---|
Published in |
BMC Public Health, October 2021
|
DOI | 10.1186/s12889-021-11829-y |
Pubmed ID | |
Authors |
Susan Idicula-Thomas, Ulka Gawde, Prabhat Jha |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 3 | 20% |
United States | 1 | 7% |
United Kingdom | 1 | 7% |
Switzerland | 1 | 7% |
Canada | 1 | 7% |
Unknown | 8 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 80% |
Scientists | 3 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 15% |
Researcher | 3 | 11% |
Student > Doctoral Student | 3 | 11% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 1 | 4% |
Other | 3 | 11% |
Unknown | 12 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 22% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Social Sciences | 2 | 7% |
Environmental Science | 1 | 4% |
Unspecified | 1 | 4% |
Other | 4 | 15% |
Unknown | 11 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 December 2021.
All research outputs
#2,098,100
of 24,348,815 outputs
Outputs from BMC Public Health
#2,370
of 16,069 outputs
Outputs of similar age
#47,937
of 424,713 outputs
Outputs of similar age from BMC Public Health
#53
of 381 outputs
Altmetric has tracked 24,348,815 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,069 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 85% 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 424,713 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 381 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.