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Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards

Overview of attention for article published in BMC Pediatrics, May 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

policy
2 policy sources

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
144 Mendeley
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Title
Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards
Published in
BMC Pediatrics, May 2008
DOI 10.1186/1471-2431-8-19
Pubmed ID
Authors

Hong Yang, Mercedes de Onis

Abstract

The child growth standards released by the World Health Organization (WHO) in 2006 have several technical advantages over the previous 1977 National Center for Health Statistics (NCHS)/WHO reference and are recommended for international comparisons and secular trend analysis of child malnutrition. To obtain comparable data over time, earlier surveys should be reanalyzed using the WHO standards; however, reanalysis is impossible for older surveys since the raw data are not available. This paper provides algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO standards.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Bangladesh 1 <1%
France 1 <1%
Unknown 141 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 13%
Student > Bachelor 17 12%
Researcher 13 9%
Student > Ph. D. Student 12 8%
Other 10 7%
Other 33 23%
Unknown 40 28%
Readers by discipline Count As %
Medicine and Dentistry 47 33%
Nursing and Health Professions 17 12%
Agricultural and Biological Sciences 14 10%
Social Sciences 8 6%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 9 6%
Unknown 45 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 March 2018.
All research outputs
#4,691,152
of 22,766,595 outputs
Outputs from BMC Pediatrics
#827
of 2,993 outputs
Outputs of similar age
#15,180
of 78,542 outputs
Outputs of similar age from BMC Pediatrics
#3
of 7 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,993 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 71% 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 78,542 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.