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Characteristics of a global classification system for perinatal deaths: a Delphi consensus study

Overview of attention for article published in BMC Pregnancy and Childbirth, August 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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1 policy source
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Citations

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26 Dimensions

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69 Mendeley
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Title
Characteristics of a global classification system for perinatal deaths: a Delphi consensus study
Published in
BMC Pregnancy and Childbirth, August 2016
DOI 10.1186/s12884-016-0993-x
Pubmed ID
Authors

Aleena M. Wojcieszek, Hanna E. Reinebrant, Susannah Hopkins Leisher, Emma Allanson, Michael Coory, Jan Jaap Erwich, J. Frederik Frøen, Jason Gardosi, Sanne Gordijn, Metin Gulmezoglu, Alexander E. P. Heazell, Fleurisca J. Korteweg, Elizabeth McClure, Robert Pattinson, Robert M. Silver, Gordon Smith, Zheyi Teoh, Özge Tunçalp, Vicki Flenady

Abstract

Despite the global burden of perinatal deaths, there is currently no single, globally-acceptable classification system for perinatal deaths. Instead, multiple, disparate systems are in use world-wide. This inconsistency hinders accurate estimates of causes of death and impedes effective prevention strategies. The World Health Organisation (WHO) is developing a globally-acceptable classification approach for perinatal deaths. To inform this work, we sought to establish a consensus on the important characteristics of such a system. A group of international experts in the classification of perinatal deaths were identified and invited to join an expert panel to develop a list of important characteristics of a quality global classification system for perinatal death. A Delphi consensus methodology was used to reach agreement. Three rounds of consultation were undertaken using a purpose built on-line survey. Round one sought suggested characteristics for subsequent scoring and selection in rounds two and three. The panel of experts agreed on a total of 17 important characteristics for a globally-acceptable perinatal death classification system. Of these, 10 relate to the structural design of the system and 7 relate to the functional aspects and use of the system. This study serves as formative work towards the development of a globally-acceptable approach for the classification of the causes of perinatal deaths. The list of functional and structural characteristics identified should be taken into consideration when designing and developing such a system.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Researcher 7 10%
Student > Ph. D. Student 7 10%
Student > Doctoral Student 7 10%
Student > Bachelor 5 7%
Other 11 16%
Unknown 20 29%
Readers by discipline Count As %
Medicine and Dentistry 25 36%
Nursing and Health Professions 11 16%
Social Sciences 3 4%
Arts and Humanities 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 7 10%
Unknown 19 28%
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 09 December 2018.
All research outputs
#3,456,201
of 24,995,564 outputs
Outputs from BMC Pregnancy and Childbirth
#939
of 4,656 outputs
Outputs of similar age
#58,356
of 352,355 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#25
of 113 outputs
Altmetric has tracked 24,995,564 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 4,656 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. 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 352,355 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 83% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.