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Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

Overview of attention for article published in Genus, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 176)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
18 X users
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
100 Mendeley
Title
Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey
Published in
Genus, November 2020
DOI 10.1186/s41118-020-00106-2
Authors

Fikrewold H. Bitew, Samuel H. Nyarko, Lloyd Potter, Corey S. Sparks

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 10%
Lecturer 8 8%
Other 8 8%
Student > Ph. D. Student 6 6%
Researcher 5 5%
Other 11 11%
Unknown 52 52%
Readers by discipline Count As %
Computer Science 10 10%
Nursing and Health Professions 9 9%
Mathematics 4 4%
Economics, Econometrics and Finance 4 4%
Medicine and Dentistry 3 3%
Other 17 17%
Unknown 53 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 12 November 2020.
All research outputs
#3,395,645
of 25,416,581 outputs
Outputs from Genus
#46
of 176 outputs
Outputs of similar age
#84,418
of 440,213 outputs
Outputs of similar age from Genus
#5
of 8 outputs
Altmetric has tracked 25,416,581 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has gotten more attention than average, scoring higher than 74% 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 440,213 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 80% of its contemporaries.
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. This one has scored higher than 3 of them.