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Machine Learning Algorithms for understanding the determinants of under-five Mortality

Overview of attention for article published in BioData Mining, September 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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18 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Machine Learning Algorithms for understanding the determinants of under-five Mortality
Published in
BioData Mining, September 2022
DOI 10.1186/s13040-022-00308-8
Pubmed ID
Authors

Rakesh Kumar Saroj, Pawan Kumar Yadav, Rajneesh Singh, Obvious.N. Chilyabanyama

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 10%
Student > Master 6 10%
Unspecified 3 5%
Lecturer 2 3%
Researcher 2 3%
Other 5 8%
Unknown 35 59%
Readers by discipline Count As %
Computer Science 4 7%
Unspecified 3 5%
Social Sciences 3 5%
Nursing and Health Professions 3 5%
Business, Management and Accounting 2 3%
Other 8 14%
Unknown 36 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 October 2022.
All research outputs
#15,872,070
of 23,578,176 outputs
Outputs from BioData Mining
#235
of 313 outputs
Outputs of similar age
#239,578
of 437,355 outputs
Outputs of similar age from BioData Mining
#4
of 5 outputs
Altmetric has tracked 23,578,176 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% 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 437,355 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% 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.