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Seeking order amidst chaos: a systematic review of classification systems for causes of stillbirth and neonatal death, 2009–2014

Overview of attention for article published in BMC Pregnancy and Childbirth, October 2016
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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)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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1 policy source
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11 X users

Citations

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61 Dimensions

Readers on

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110 Mendeley
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Title
Seeking order amidst chaos: a systematic review of classification systems for causes of stillbirth and neonatal death, 2009–2014
Published in
BMC Pregnancy and Childbirth, October 2016
DOI 10.1186/s12884-016-1071-0
Pubmed ID
Authors

Susannah Hopkins Leisher, Zheyi Teoh, Hanna Reinebrant, Emma Allanson, Hannah Blencowe, Jan Jaap Erwich, J. Frederik Frøen, Jason Gardosi, Sanne Gordijn, A. Metin Gülmezoglu, Alexander E. P. Heazell, Fleurisca Korteweg, Joy Lawn, Elizabeth M. McClure, Robert Pattinson, Gordon C. S. Smith, Ӧzge Tunçalp, Aleena M. Wojcieszek, Vicki Flenady

Abstract

Each year, about 5.3 million babies die in the perinatal period. Understanding of causes of death is critical for prevention, yet there is no globally acceptable classification system. Instead, many disparate systems have been developed and used. We aimed to identify all systems used or created between 2009 and 2014, with their key features, including extent of alignment with the International Classification of Diseases (ICD) and variation in features by region, to inform the World Health Organization's development of a new global approach to classifying perinatal deaths. A systematic literature review (CINAHL, EMBASE, Medline, Global Health, and PubMed) identified published and unpublished studies and national reports describing new classification systems or modifications of existing systems for causes of perinatal death, or that used or tested such systems, between 2009 and 2014. Studies reporting ICD use only were excluded. Data were independently double-extracted (except from non-English publications). Subgroup analyses explored variation by extent and region. Eighty-one systems were identified as new, modifications of existing systems, or having been used between 2009 and 2014, with an average of ten systems created/modified each year. Systems had widely varying characteristics: (i) comprehensiveness (40 systems classified both stillbirths and neonatal deaths); (ii) extent of use (systems were created in 28 countries and used in 40; 17 were created for national use; 27 were widely used); (iii) accessibility (three systems available in e-format); (iv) underlying cause of death (64 systems required a single cause of death); (v) reliability (10 systems tested for reliability, with overall Kappa scores ranging from .35-.93); and (vi) ICD alignment (17 systems used ICD codes). Regional databases were not searched, so system numbers may be underestimated. Some non-differential misclassification of systems was possible. The plethora of systems in use, and continuing system development, hamper international efforts to improve understanding of causes of death. Recognition of the features of currently used systems, combined with a better understanding of the drivers of continued system creation, may help the development of a truly effective global system.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 109 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 21%
Student > Ph. D. Student 15 14%
Researcher 9 8%
Student > Postgraduate 7 6%
Professor 5 5%
Other 18 16%
Unknown 33 30%
Readers by discipline Count As %
Medicine and Dentistry 48 44%
Nursing and Health Professions 7 6%
Social Sciences 7 6%
Psychology 2 2%
Unspecified 2 2%
Other 9 8%
Unknown 35 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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
#2,955,591
of 23,674,309 outputs
Outputs from BMC Pregnancy and Childbirth
#822
of 4,362 outputs
Outputs of similar age
#50,693
of 321,489 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#18
of 90 outputs
Altmetric has tracked 23,674,309 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,362 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 81% 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 321,489 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 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.