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Towards elimination of maternal deaths: maternal deaths surveillance and response

Overview of attention for article published in Reproductive Health, January 2013
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

policy
1 policy source
twitter
13 X users
facebook
2 Facebook pages

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
187 Mendeley
Title
Towards elimination of maternal deaths: maternal deaths surveillance and response
Published in
Reproductive Health, January 2013
DOI 10.1186/1742-4755-10-1
Pubmed ID
Authors

Sennen Hounton, Luc De Bernis, Julia Hussein, Wendy J Graham, Isabella Danel, Peter Byass, Elizabeth M Mason

Abstract

Current methods for estimating maternal mortality lack precision, and are not suitable for monitoring progress in the short run. In addition, national maternal mortality ratios (MMRs) alone do not provide useful information on where the greatest burden of mortality is located, who is concerned, what are the causes, and more importantly what sub-national variations occur. This paper discusses a maternal death surveillance and response (MDSR) system. MDSR systems are not yet established in most countries and have potential added value for policy making and accountability and can build on existing efforts to conduct maternal death reviews, verbal autopsies and confidential enquiries. Accountability at national and sub-national levels cannot rely on global, regional and national retrospective estimates periodically generated from academia or United Nations organizations but on routine counting, investigation, sub national data analysis, long term investments in vital registration and national health information systems. Establishing effective maternal death surveillance and response will help achieve MDG 5, improve quality of maternity care and eliminate maternal mortality (MMR ≤ 30 per 100,000 by 2030).

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Nigeria 1 <1%
Ghana 1 <1%
Unknown 184 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 53 28%
Student > Ph. D. Student 20 11%
Student > Bachelor 18 10%
Researcher 16 9%
Student > Postgraduate 15 8%
Other 32 17%
Unknown 33 18%
Readers by discipline Count As %
Medicine and Dentistry 77 41%
Nursing and Health Professions 27 14%
Social Sciences 20 11%
Business, Management and Accounting 6 3%
Agricultural and Biological Sciences 5 3%
Other 15 8%
Unknown 37 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 17 June 2020.
All research outputs
#3,482,665
of 25,182,110 outputs
Outputs from Reproductive Health
#407
of 1,552 outputs
Outputs of similar age
#34,872
of 293,954 outputs
Outputs of similar age from Reproductive Health
#4
of 13 outputs
Altmetric has tracked 25,182,110 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 1,552 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 73% 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 293,954 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 88% of its contemporaries.
We're also able to compare this research output to 13 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.