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DNA methylation differences at growth related genes correlate with birth weight: a molecular signature linked to developmental origins of adult disease?

Overview of attention for article published in BMC Medical Genomics, April 2012
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Title
DNA methylation differences at growth related genes correlate with birth weight: a molecular signature linked to developmental origins of adult disease?
Published in
BMC Medical Genomics, April 2012
DOI 10.1186/1755-8794-5-10
Pubmed ID
Authors

Nahid Turan, Mohamed F Ghalwash, Sunita Katari, Christos Coutifaris, Zoran Obradovic, Carmen Sapienza

Abstract

Infant birth weight is a complex quantitative trait associated with both neonatal and long-term health outcomes. Numerous studies have been published in which candidate genes (IGF1, IGF2, IGF2R, IGF binding proteins, PHLDA2 and PLAGL1) have been associated with birth weight, but these studies are difficult to reproduce in man and large cohort studies are needed due to the large inter individual variance in transcription levels. Also, very little of the trait variance is explained. We decided to identify additional candidates without regard for what is known about the genes. We hypothesize that DNA methylation differences between individuals can serve as markers of gene "expression potential" at growth related genes throughout development and that these differences may correlate with birth weight better than single time point measures of gene expression.

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X Demographics

The data shown below were collected from the profiles of 2 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Czechia 1 <1%
Italy 1 <1%
Unknown 123 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 24%
Student > Ph. D. Student 24 19%
Student > Master 14 11%
Student > Bachelor 12 10%
Professor > Associate Professor 7 6%
Other 24 19%
Unknown 15 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 30%
Medicine and Dentistry 28 22%
Biochemistry, Genetics and Molecular Biology 15 12%
Psychology 7 6%
Nursing and Health Professions 5 4%
Other 13 10%
Unknown 20 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 March 2013.
All research outputs
#17,656,152
of 22,664,267 outputs
Outputs from BMC Medical Genomics
#785
of 1,211 outputs
Outputs of similar age
#120,572
of 161,626 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 7 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 161,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.