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Urinary metabolic profiles in early pregnancy are associated with preterm birth and fetal growth restriction in the Rhea mother–child cohort study

Overview of attention for article published in BMC Medicine, July 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
64 X users
weibo
1 weibo user
facebook
9 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
251 Mendeley
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Title
Urinary metabolic profiles in early pregnancy are associated with preterm birth and fetal growth restriction in the Rhea mother–child cohort study
Published in
BMC Medicine, July 2014
DOI 10.1186/1741-7015-12-110
Pubmed ID
Authors

Léa Maitre, Eleni Fthenou, Toby Athersuch, Muireann Coen, Mireille B Toledano, Elaine Holmes, Manolis Kogevinas, Leda Chatzi, Hector C Keun

Abstract

Preterm birth (PB) and fetal growth restriction (FGR) convey the highest risk of perinatal mortality and morbidity, as well as increasing the chance of developing chronic disease in later life. Identifying early in pregnancy the unfavourable maternal conditions that can predict poor birth outcomes could help their prevention and management. Here we used an exploratory metabolic profiling approach (metabolomics) to investigate the association between birth outcomes and metabolites in maternal urine collected early in pregnancy as part of the prospective mother-child cohort Rhea study. Metabolomic techniques can simultaneously capture information about genotype and its interaction with the accumulated exposures experienced by an individual from their diet, environment, physical activity or disease (the exposome). As metabolic syndrome has previously been shown to be associated with PB in this cohort, we sought to gain further insight into PB-linked metabolic phenotypes and to define new predictive biomarkers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 64 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 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
India 1 <1%
Brazil 1 <1%
Korea, Republic of 1 <1%
Denmark 1 <1%
Unknown 245 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 17%
Student > Ph. D. Student 41 16%
Student > Bachelor 37 15%
Student > Master 27 11%
Other 8 3%
Other 39 16%
Unknown 56 22%
Readers by discipline Count As %
Medicine and Dentistry 63 25%
Agricultural and Biological Sciences 28 11%
Biochemistry, Genetics and Molecular Biology 25 10%
Nursing and Health Professions 15 6%
Social Sciences 7 3%
Other 47 19%
Unknown 66 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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 January 2015.
All research outputs
#384,050
of 23,881,329 outputs
Outputs from BMC Medicine
#294
of 3,613 outputs
Outputs of similar age
#3,462
of 228,863 outputs
Outputs of similar age from BMC Medicine
#5
of 53 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,613 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.6. This one has done particularly well, scoring higher than 91% 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 228,863 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.