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Lung function in African infants

Overview of attention for article published in Respirology, July 2015
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Title
Lung function in African infants
Published in
Respirology, July 2015
DOI 10.1111/resp.12579
Pubmed ID
Authors

Diane Gray, Lauren Willemse, Ane Visagie, Emilee Smith, Dorottya Czövek, Peter D Sly, Zoltán Hantos, Graham L Hall, Heather J Zar

Abstract

Population-appropriate lung function reference data are essential to accurately identify respiratory disease and measure response to interventions. There are currently no reference data in African infants. The aim was to describe normal lung function in healthy African infants. Lung function was performed on healthy South African infants enrolled in a birth cohort study, the Drakenstein child health study. Infants were excluded if they were born preterm or had a history of neonatal respiratory distress or prior respiratory tract infection. Measurements, made during natural sleep, included the forced oscillation technique, tidal breathing, exhaled nitric oxide and multiple breath washout measures. Three hundred sixty-three infants were tested. Acceptable and repeatable measurements were obtained in 356 (98%) and 352 (97%) infants for tidal breathing analysis and exhaled nitric oxide outcomes, 345 (95%) infants for multiple breath washout and 293 of the 333 (88%) infants for the forced oscillation technique. Age, sex and weight-for-age z score were significantly associated with lung function measures. This study provides reference data for unsedated infant lung function in African infants and highlights the importance of using population-specific data.

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The data shown below were collected from the profile of 1 X user 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Researcher 8 13%
Other 6 10%
Student > Master 4 6%
Professor 4 6%
Other 13 21%
Unknown 17 27%
Readers by discipline Count As %
Medicine and Dentistry 19 31%
Nursing and Health Professions 5 8%
Social Sciences 4 6%
Psychology 3 5%
Unspecified 2 3%
Other 6 10%
Unknown 23 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 August 2015.
All research outputs
#18,418,694
of 22,816,807 outputs
Outputs from Respirology
#2,361
of 2,703 outputs
Outputs of similar age
#189,241
of 263,437 outputs
Outputs of similar age from Respirology
#51
of 61 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,703 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 263,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.