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The geography of maternal and newborn health: the state of the art

Overview of attention for article published in International Journal of Health Geographics, May 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 611)
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

policy
1 policy source
twitter
52 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
153 Mendeley
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Title
The geography of maternal and newborn health: the state of the art
Published in
International Journal of Health Geographics, May 2015
DOI 10.1186/s12942-015-0012-x
Pubmed ID
Authors

Steeve Ebener, Maria Guerra-Arias, James Campbell, Andrew J. Tatem, Allisyn C. Moran, Fiifi Amoako Johnson, Helga Fogstad, Karin Stenberg, Sarah Neal, Patricia Bailey, Reid Porter, Zoe Matthews

Abstract

As the deadline for the millennium development goals approaches, it has become clear that the goals linked to maternal and newborn health are the least likely to be achieved by 2015. It is therefore critical to ensure that all possible data, tools and methods are fully exploited to help address this gap. Among the methods that are under-used, mapping has always represented a powerful way to 'tell the story' of a health problem in an easily understood way. In addition to this, the advanced analytical methods and models now being embedded into Geographic Information Systems allow a more in-depth analysis of the causes behind adverse maternal and newborn health (MNH) outcomes. This paper examines the current state of the art in mapping the geography of MNH as a starting point to unleashing the potential of these under-used approaches. Using a rapid literature review and the description of the work currently in progress, this paper allows the identification of methods in use and describes a framework for methodological approaches to inform improved decision-making. The paper is aimed at health metrics and geography of health specialists, the MNH community, as well as policy-makers in developing countries and international donor agencies.

Twitter Demographics

The data shown below were collected from the profiles of 52 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Spain 1 <1%
Kenya 1 <1%
Germany 1 <1%
Unknown 148 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 22%
Researcher 28 18%
Student > Bachelor 16 10%
Student > Ph. D. Student 16 10%
Other 9 6%
Other 28 18%
Unknown 23 15%
Readers by discipline Count As %
Medicine and Dentistry 35 23%
Social Sciences 30 20%
Nursing and Health Professions 17 11%
Economics, Econometrics and Finance 8 5%
Environmental Science 7 5%
Other 27 18%
Unknown 29 19%

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 01 November 2020.
All research outputs
#692,220
of 19,513,492 outputs
Outputs from International Journal of Health Geographics
#24
of 611 outputs
Outputs of similar age
#10,410
of 245,979 outputs
Outputs of similar age from International Journal of Health Geographics
#1
of 1 outputs
Altmetric has tracked 19,513,492 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 611 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. 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 245,979 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 95% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them