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Placental methylome analysis from a prospective autism study

Overview of attention for article published in Molecular Autism, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

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59 Dimensions

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98 Mendeley
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Title
Placental methylome analysis from a prospective autism study
Published in
Molecular Autism, December 2016
DOI 10.1186/s13229-016-0114-8
Pubmed ID
Authors

Diane I. Schroeder, Rebecca J. Schmidt, Florence K. Crary-Dooley, Cheryl K. Walker, Sally Ozonoff, Daniel J. Tancredi, Irva Hertz-Picciotto, Janine M. LaSalle

Abstract

Autism spectrum disorders (ASD) are increasingly prevalent neurodevelopmental disorders that are behaviorally diagnosed in early childhood. Most ASD cases likely arise from a complex mixture of genetic and environmental factors, an interface where the epigenetic marks of DNA methylation may be useful as risk biomarkers. The placenta is a potentially useful surrogate tissue characterized by a methylation pattern of partially methylated domains (PMDs) and highly methylated domains (HMDs) reflective of methylation patterns observed in the early embryo. In this study, we investigated human term placentas from the MARBLES (Markers of Autism Risk in Babies: Learning Early Signs) prospective study by whole genome bisulfite sequencing. We also examined the utility of PMD/HMDs in detecting methylation differences consistent with ASD diagnosis at age three. We found that while human placental methylomes have highly reproducible PMD and HMD locations, there is a greater variation between individuals in methylation levels over PMDs than HMDs due to both sampling and individual variability. In a comparison of methylation differences in placental samples from 24 ASD and 23 typically developing (TD) children, a HMD containing a putative fetal brain enhancer near DLL1 was found to reach genome-wide significance and was validated for significantly higher methylation in ASD by pyrosequencing. These results suggest that the placenta could be an informative surrogate tissue for predictive ASD biomarkers in high-risk families.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 14%
Researcher 13 13%
Student > Bachelor 9 9%
Student > Master 7 7%
Student > Doctoral Student 6 6%
Other 23 23%
Unknown 26 27%
Readers by discipline Count As %
Psychology 16 16%
Biochemistry, Genetics and Molecular Biology 14 14%
Medicine and Dentistry 9 9%
Neuroscience 7 7%
Agricultural and Biological Sciences 6 6%
Other 17 17%
Unknown 29 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 09 January 2020.
All research outputs
#2,028,884
of 22,755,127 outputs
Outputs from Molecular Autism
#202
of 664 outputs
Outputs of similar age
#43,469
of 420,204 outputs
Outputs of similar age from Molecular Autism
#7
of 9 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.4. This one has gotten more attention than average, scoring higher than 69% 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 420,204 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.