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Assessment of ten trace elements in umbilical cord blood and maternal blood: association with birth weight

Overview of attention for article published in Journal of Translational Medicine, September 2015
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
Assessment of ten trace elements in umbilical cord blood and maternal blood: association with birth weight
Published in
Journal of Translational Medicine, September 2015
DOI 10.1186/s12967-015-0654-2
Pubmed ID
Authors

Lorena Bermúdez, Consuelo García-Vicent, Jorge López, Maria Isabel Torró, Empar Lurbe

Abstract

Trace elements are an essential nutritional component for humans and inadequate tissue-concentrations may have a significant effect on fetal size. To measure ten trace elements in blood samples from mothers and their newborns, and assess their association with anthropometric characteristics at birth. The effects of other factors on fetal growth, such as biologic characteristics of the infant and mother, were analysed. A cross-sectional study was conducted in the Hospital general, University of Valencia, Spain. Healthy pregnant women, and their full-term infants were selected (n = 54 paired samples). Infants were grouped according to birth weight: small for gestational age (SGA n = 11), appropriate (AGA n = 30), and large (LGA n = 13). Anthropometric and biologic characteristics of the infant and mother were recorded. Levels of ten essential elements: arsenic (As), barium (Ba), cobalt (Co), copper (Cu), chrome (Cr), iron (Fe), magnesium (Mg), manganese (Mn), selenium (Se) and zinc (Zn), in maternal and cord plasma samples were determined. Samples were obtained from the umbilical cord immediately after delivery and the samples of their mothers were drawn at 2-4 h after delivery. The analysis identified that cord blood Cu (p = 0.017) and maternal blood Ba and Mg (p = 0.027 and p = 0.002, respectively) concentrations were significantly higher among SGA infants compared to AGA and LGA infants. A multiple linear regression analysis showed that increased umbilical cord Cu concentration (adjusted β -146.4 g, 95 % CI -255 to -37.7; p = 0.009), maternal smoking during pregnancy (adjusted β -483.8 g, 95 % CI -811.7 to -155.9; p = 0.005), shorter gestational age (adjusted β 350.1 g, 95 % CI 244.5 to 455.8; p = 0.000), and female sex (adjusted β -374 g, 95 % CI -648 to -100; p = 0.009) were significantly associated with decreased birth weight. Maternal anaemia was positively associated with birth weight (adjusted β 362 g, 95 % CI 20.8 to 703.1; p = 0.038). No significant associations were found between maternal trace elements and birth weight in multivariate analysis. We did not observe significant associations of cord blood trace elements other than Cu and maternal trace elements with birth weight in the multivariate analyses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 84 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 14%
Student > Master 11 13%
Student > Doctoral Student 11 13%
Student > Bachelor 7 8%
Researcher 7 8%
Other 13 15%
Unknown 24 28%
Readers by discipline Count As %
Medicine and Dentistry 16 19%
Nursing and Health Professions 9 11%
Biochemistry, Genetics and Molecular Biology 7 8%
Environmental Science 6 7%
Social Sciences 3 4%
Other 13 15%
Unknown 31 36%
Attention Score in Context

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 08 September 2015.
All research outputs
#6,858,921
of 22,826,360 outputs
Outputs from Journal of Translational Medicine
#1,068
of 3,994 outputs
Outputs of similar age
#81,412
of 267,706 outputs
Outputs of similar age from Journal of Translational Medicine
#23
of 91 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 73% 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 267,706 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 69% of its contemporaries.
We're also able to compare this research output to 91 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 74% of its contemporaries.