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Australian national birthweight percentiles by sex and gestational age for twins, 2001–2010

Overview of attention for article published in BMC Pediatrics, October 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Australian national birthweight percentiles by sex and gestational age for twins, 2001–2010
Published in
BMC Pediatrics, October 2015
DOI 10.1186/s12887-015-0464-y
Pubmed ID
Authors

Zhuoyang Li, Mark P. Umstad, Lisa Hilder, Fenglian Xu, Elizabeth A. Sullivan

Abstract

Birthweight remains one of the strongest predictors of perinatal mortality and disability. Birthweight percentiles form a reference that allows the detection of neonates at higher risk of neonatal and postneonatal morbidity. The aim of the study is to present updated national birthweight percentiles by gestational age for male and female twins born in Australia. Population data were extracted from the Australian National Perinatal Data Collection for twins born in Australia between 2001 and 2010. A total of 43,833 women gave birth to 87,666 twins in Australia which were included in the study analysis. Implausible birthweights were excluded using Tukey's methodology based on the interquartile range. Univariate analysis was used to examine the birthweight percentiles for liveborn twins born between 20 and 42 weeks gestation. Birthweight percentiles by gestational age were calculated for 85,925 live births (43,153 males and 42,706 females). Of these infants, 53.6 % were born preterm (birth before 37 completed weeks of gestation) while 50.2 % were low birthweight (<2500 g) and 8.7 % were very low birthweight (<1500 g). The mean birthweight decreased from 2462 g in 2001 to 2440 g in 2010 for male twins, compared with 2485 g in 1991-94. For female twins, the mean birthweight decreased from 2375 g in 2001 to 2338 g in 2010, compared with 2382 g in 1991-94. The birthweight percentiles provide clinicians and researchers with up-to-date population norms of birthweight percentiles for twins in Australia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 36%
Student > Ph. D. Student 3 9%
Researcher 3 9%
Professor > Associate Professor 2 6%
Student > Master 1 3%
Other 2 6%
Unknown 10 30%
Readers by discipline Count As %
Medicine and Dentistry 9 27%
Nursing and Health Professions 8 24%
Agricultural and Biological Sciences 2 6%
Economics, Econometrics and Finance 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 12 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 November 2015.
All research outputs
#13,449,421
of 22,830,751 outputs
Outputs from BMC Pediatrics
#1,655
of 3,006 outputs
Outputs of similar age
#131,731
of 278,191 outputs
Outputs of similar age from BMC Pediatrics
#39
of 78 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,006 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 43rd percentile – i.e., 43% 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 278,191 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 51% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.