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Systems biology evaluation of cell-free amniotic fluid transcriptome of term and preterm infants to detect fetal maturity

Overview of attention for article published in BMC Medical Genomics, October 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 1,268)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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9 news outlets
blogs
1 blog
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5 X users

Citations

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25 Dimensions

Readers on

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37 Mendeley
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1 CiteULike
Title
Systems biology evaluation of cell-free amniotic fluid transcriptome of term and preterm infants to detect fetal maturity
Published in
BMC Medical Genomics, October 2015
DOI 10.1186/s12920-015-0138-5
Pubmed ID
Authors

Beena D. Kamath-Rayne, Yina Du, Maria Hughes, Erin A. Wagner, Louis J. Muglia, Emily A. DeFranco, Jeffrey A. Whitsett, Nathan Salomonis, Yan Xu

Abstract

Amniotic fluid (AF) is a proximal fluid to the fetus containing higher amounts of cell-free fetal RNA/DNA than maternal serum, thereby making it a promising source for identifying novel biomarkers that predict fetal development and organ maturation. Our aim was to compare AF transcriptomic profiles at different time points in pregnancy to demonstrate unique genetic signatures that would serve as potential biomarkers indicative of fetal maturation. We isolated AF RNA from 16 women at different time points in pregnancy: 4 from 18 to 24 weeks, 6 from 34 to 36 weeks, and 6 from 39 to 40 weeks. RNA-sequencing was performed on cell-free RNA. Gene expression and splicing analyses were performed in conjunction with cell-type and pathway predictions. Sample-level analysis at different time points in pregnancy demonstrated a strong correlation with cell types found in the intrauterine environment and fetal respiratory, digestive and external barrier tissues of the fetus, using high-confidence cellular molecular markers. While some RNAs and splice variants were present throughout pregnancy, many transcripts were uniquely expressed at different time points in pregnancy and associated with distinct neonatal co-morbidities (respiratory distress and gavage feeding), indicating fetal immaturity. The AF transcriptome exhibits unique cell/organ-selective expression patterns at different time points in pregnancy that can potentially identify fetal organ maturity and predict neonatal morbidity. Developing novel biomarkers indicative of the maturation of multiple organ systems can improve upon our current methods of fetal maturity testing which focus solely on the lung, and will better inform obstetrical decisions regarding delivery timing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Master 5 14%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Other 3 8%
Other 4 11%
Unknown 11 30%
Readers by discipline Count As %
Medicine and Dentistry 10 27%
Agricultural and Biological Sciences 5 14%
Biochemistry, Genetics and Molecular Biology 4 11%
Immunology and Microbiology 2 5%
Psychology 2 5%
Other 1 3%
Unknown 13 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 05 December 2018.
All research outputs
#493,221
of 23,881,329 outputs
Outputs from BMC Medical Genomics
#9
of 1,268 outputs
Outputs of similar age
#7,754
of 285,973 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 21 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 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,268 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 99% 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 285,973 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 97% of its contemporaries.
We're also able to compare this research output to 21 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 95% of its contemporaries.