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The causal effect of red blood cell folate on genome-wide methylation in cord blood: a Mendelian randomization approach

Overview of attention for article published in BMC Bioinformatics, December 2013
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Title
The causal effect of red blood cell folate on genome-wide methylation in cord blood: a Mendelian randomization approach
Published in
BMC Bioinformatics, December 2013
DOI 10.1186/1471-2105-14-353
Pubmed ID
Authors

Alexandra M Binder, Karin B Michels

Abstract

Investigation of the biological mechanism by which folate acts to affect fetal development can inform appraisal of expected benefits and risk management. This research is ethically imperative given the ubiquity of folic acid fortified products in the US. Considering that folate is an essential component in the one-carbon metabolism pathway that provides methyl groups for DNA methylation, epigenetic modifications provide a putative molecular mechanism mediating the effect of folic acid supplementation on neonatal and pediatric outcomes.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Researcher 14 20%
Student > Master 9 13%
Student > Bachelor 7 10%
Student > Doctoral Student 5 7%
Other 14 20%
Unknown 8 11%
Readers by discipline Count As %
Medicine and Dentistry 22 31%
Agricultural and Biological Sciences 19 27%
Biochemistry, Genetics and Molecular Biology 5 7%
Mathematics 2 3%
Computer Science 2 3%
Other 11 15%
Unknown 10 14%
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 20 December 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from BMC Bioinformatics
#6,300
of 7,266 outputs
Outputs of similar age
#231,825
of 306,889 outputs
Outputs of similar age from BMC Bioinformatics
#86
of 107 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 306,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.