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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
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
20 tweeters
facebook
1 Facebook page

Readers on

mendeley
14 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

Twitter Demographics

The data shown below were collected from the profiles of 20 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 21%
Student > Ph. D. Student 2 14%
Lecturer 2 14%
Student > Bachelor 2 14%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 14%
Computer Science 2 14%
Nursing and Health Professions 1 7%
Business, Management and Accounting 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 2 14%
Unknown 5 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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
#1,683,392
of 16,920,965 outputs
Outputs from Genus
#12
of 58 outputs
Outputs of similar age
#61,030
of 383,586 outputs
Outputs of similar age from Genus
#4
of 17 outputs
Altmetric has tracked 16,920,965 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 79% 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 383,586 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 84% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.