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Verbal autopsy as a tool for identifying children dying of sickle cell disease: a validation study conducted in Kilifi district, Kenya

Overview of attention for article published in BMC Medicine, April 2014
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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 (93rd percentile)

Mentioned by

news
2 news outlets
twitter
10 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
58 Mendeley
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Title
Verbal autopsy as a tool for identifying children dying of sickle cell disease: a validation study conducted in Kilifi district, Kenya
Published in
BMC Medicine, April 2014
DOI 10.1186/1741-7015-12-65
Pubmed ID
Authors

Carolyne Ndila, Evasius Bauni, Vysaul Nyirongo, George Mochamah, Alex Makazi, Patrick Kosgei, Gideon Nyutu, Alex Macharia, Sailoki Kapesa, Peter Byass, Thomas N Williams

Abstract

Sickle cell disease (SCD) is common in many parts of sub-Saharan Africa (SSA), where it is associated with high early mortality. In the absence of newborn screening, most deaths among children with SCD go unrecognized and unrecorded. As a result, SCD does not receive the attention it deserves as a leading cause of death among children in SSA. In the current study, we explored the potential utility of verbal autopsy (VA) as a tool for attributing underlying cause of death (COD) in children to SCD.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 28%
Researcher 8 14%
Student > Ph. D. Student 7 12%
Student > Postgraduate 6 10%
Lecturer 6 10%
Other 8 14%
Unknown 7 12%
Readers by discipline Count As %
Medicine and Dentistry 20 34%
Social Sciences 10 17%
Nursing and Health Professions 6 10%
Agricultural and Biological Sciences 5 9%
Arts and Humanities 2 3%
Other 6 10%
Unknown 9 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 07 September 2015.
All research outputs
#890,349
of 16,578,610 outputs
Outputs from BMC Medicine
#714
of 2,619 outputs
Outputs of similar age
#11,703
of 193,654 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 16,578,610 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,619 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.2. This one has gotten more attention than average, scoring higher than 72% 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 193,654 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 93% 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