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Fetal metabolic influences of neonatal anthropometry and adiposity

Overview of attention for article published in BMC Pediatrics, November 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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1 policy source
twitter
1 tweeter

Citations

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26 Dimensions

Readers on

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73 Mendeley
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Title
Fetal metabolic influences of neonatal anthropometry and adiposity
Published in
BMC Pediatrics, November 2015
DOI 10.1186/s12887-015-0499-0
Pubmed ID
Authors

Jean M. Donnelly, Karen L. Lindsay, Jennifer M. Walsh, Mary Horan, Eleanor J Molloy, Fionnuala M. McAuliffe

Abstract

Large for gestational age infants have an increased risk of obesity, cardiovascular and metabolic complications during life. Knowledge of the key predictive factors of neonatal adiposity is required to devise targeted antenatal interventions. Our objective was to determine the fetal metabolic factors that influence regional neonatal adiposity in a cohort of women with previous large for gestational age offspring. Data from the ROLO [Randomised COntrol Trial of LOw Glycaemic Index in Pregnancy] study were analysed in the ROLO Kids study. Neonatal anthropometric and skinfold measurements were compared with fetal leptin and C-peptide results from cord blood in 185 cases. Analyses were performed to examine the association between these metabolic factors and birthweight, anthropometry and markers of central and generalised adiposity. Fetal leptin was found to correlate with birthweight, general adiposity and multiple anthropometric measurements. On multiple regression analysis, fetal leptin remained significantly associated with adiposity, independent of gender, maternal BMI, gestational age or study group assignment, while fetal C-peptide was no longer significant. Fetal leptin may be an important predictor of regional neonatal adiposity. Interventional studies are required to assess the impact of neonatal adiposity on the subsequent risk of childhood obesity and to determine whether interventions which reduce circulating leptin levels have a role to play in improving neonatal adiposity measures.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Student > Bachelor 11 15%
Researcher 7 10%
Student > Master 7 10%
Student > Doctoral Student 6 8%
Other 14 19%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 20 27%
Nursing and Health Professions 13 18%
Sports and Recreations 4 5%
Agricultural and Biological Sciences 4 5%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 8 11%
Unknown 20 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 January 2019.
All research outputs
#3,763,727
of 14,239,448 outputs
Outputs from BMC Pediatrics
#702
of 1,790 outputs
Outputs of similar age
#90,335
of 290,716 outputs
Outputs of similar age from BMC Pediatrics
#38
of 145 outputs
Altmetric has tracked 14,239,448 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,790 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 60% 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 290,716 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 68% of its contemporaries.
We're also able to compare this research output to 145 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 73% of its contemporaries.