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Unconditional and conditional standards for fetal abdominal circumference and estimated fetal weight in an ethnic Chinese population: a birth cohort study

Overview of attention for article published in BMC Pregnancy and Childbirth, June 2015
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Title
Unconditional and conditional standards for fetal abdominal circumference and estimated fetal weight in an ethnic Chinese population: a birth cohort study
Published in
BMC Pregnancy and Childbirth, June 2015
DOI 10.1186/s12884-015-0569-1
Pubmed ID
Authors

Ying Xu, Ngee Lek, Yin Bun Cheung, Arijit Biswas, Lin Lin Su, Kenneth Y. C. Kwek, George S. H. Yeo, Shu-E Soh, Seang-Mei Saw, Peter D. Gluckman, Yap-Seng Chong

Abstract

Diagnosis of intrauterine fetal growth restriction and prediction of small-for-gestation age are often based on fetal abdominal circumference or estimated fetal weight (EFW). The present study aims to create unconditional (cross-sectional) and conditional (longitudinal) standards of fetal abdominal circumference and EFW for use in an ethnic Chinese population. In the Growing Up in Singapore Towards healthy Outcome (GUSTO) birth cohort study in Singapore, fetal biometric measurements were obtained at enrolment to antenatal care (11-12 weeks) and up to three more time points during pregnancy. Singleton pregnancies with a healthy profile defined by maternal, pregnancy and fetal characteristics and birth outcomes were selected for this analysis. The Hadlock algorithm was used to calculate EFW. Mixed effects model was used to establish unconditional and conditional standards in z-scores and percentiles for both genders pooled and for each gender separately. A total of 313 women were included, of whom 294 had 3 and 19 had 2 ultrasound scans other than the gestational age dating scan. Fetal abdominal circumference showed a roughly linear trajectory from 18 to 36 weeks of gestation, while EFW showed an accelerating trajectory. Gender differences were more pronounced in the 10(th) percentile than the 50(th) or 90(th) percentiles. As compared to other published charts, this population showed growth trajectories that started low but caught up at later gestations. Unconditional and conditional standards for monitoring fetal size and fetal growth in terms of abdominal circumference and EFW are available for this ethnic-Chinese population. Electronic spreadsheets are provided for their implementation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Student > Master 8 15%
Student > Bachelor 6 11%
Student > Doctoral Student 4 7%
Student > Postgraduate 3 5%
Other 8 15%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 20 36%
Nursing and Health Professions 9 16%
Agricultural and Biological Sciences 3 5%
Social Sciences 3 5%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 4 7%
Unknown 14 25%
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 26 June 2015.
All research outputs
#18,417,643
of 22,815,414 outputs
Outputs from BMC Pregnancy and Childbirth
#3,471
of 4,191 outputs
Outputs of similar age
#189,533
of 263,898 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#43
of 50 outputs
Altmetric has tracked 22,815,414 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 4,191 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 9th percentile – i.e., 9% 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 263,898 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 50 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.