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Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings

Overview of attention for article published in Frontiers in Public Health, July 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
58 X users

Citations

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15 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings
Published in
Frontiers in Public Health, July 2022
DOI 10.3389/fpubh.2022.931401
Pubmed ID
Authors

Aduragbemi Banke-Thomas, Peter M. Macharia, Prestige Tatenda Makanga, Lenka Beňová, Kerry L. M. Wong, Uchenna Gwacham-Anisiobi, Jia Wang, Tope Olubodun, Olakunmi Ogunyemi, Bosede B. Afolabi, Bassey Ebenso, Ibukun-Oluwa Omolade Abejirinde

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 7 16%
Student > Master 7 16%
Student > Bachelor 3 7%
Researcher 2 5%
Student > Ph. D. Student 2 5%
Other 3 7%
Unknown 20 45%
Readers by discipline Count As %
Nursing and Health Professions 7 16%
Medicine and Dentistry 6 14%
Environmental Science 3 7%
Engineering 3 7%
Earth and Planetary Sciences 1 2%
Other 3 7%
Unknown 21 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 13 April 2024.
All research outputs
#1,061,073
of 26,561,175 outputs
Outputs from Frontiers in Public Health
#591
of 15,034 outputs
Outputs of similar age
#23,702
of 439,452 outputs
Outputs of similar age from Frontiers in Public Health
#25
of 1,266 outputs
Altmetric has tracked 26,561,175 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,034 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 96% 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 439,452 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 1,266 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.