You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neonatal DNA methylation profile in human twins is specified by a complex interplay between intrauterine environmental and genetic factors, subject to tissue-specific influence
|
|---|---|
| Published in |
Genome Research, July 2012
|
| DOI | 10.1101/gr.136598.111 |
| Pubmed ID | |
| Authors |
Lavinia Gordon, Jihoon E. Joo, Joseph E. Powell, Miina Ollikainen, Boris Novakovic, Xin Li, Roberta Andronikos, Mark N. Cruickshank, Karen N. Conneely, Alicia K. Smith, Reid S. Alisch, Ruth Morley, Peter M. Visscher, Jeffrey M. Craig, Richard Saffery |
| Abstract |
Comparison between groups of monozygotic (MZ) and dizygotic (DZ) twins enables an estimation of the relative contribution of genetic and shared and nonshared environmental factors to phenotypic variability. Using DNA methylation profiling of ∼20,000 CpG sites as a phenotype, we have examined discordance levels in three neonatal tissues from 22 MZ and 12 DZ twin pairs. MZ twins exhibit a wide range of within-pair differences at birth, but show discordance levels generally lower than DZ pairs. Within-pair methylation discordance was lowest in CpG islands in all twins and increased as a function of distance from islands. Variance component decomposition analysis of DNA methylation in MZ and DZ pairs revealed a low mean heritability across all tissues, although a wide range of heritabilities was detected for specific genomic CpG sites. The largest component of variation was attributed to the combined effects of nonshared intrauterine environment and stochastic factors. Regression analysis of methylation on birth weight revealed a general association between methylation of genes involved in metabolism and biosynthesis, providing further support for epigenetic change in the previously described link between low birth weight and increasing risk for cardiovascular, metabolic, and other complex diseases. Finally, comparison of our data with that of several older twins revealed little evidence for genome-wide epigenetic drift with increasing age. This is the first study to analyze DNA methylation on a genome scale in twins at birth, further highlighting the importance of the intrauterine environment on shaping the neonatal epigenome. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 27% |
| United Kingdom | 2 | 13% |
| Norway | 1 | 7% |
| Turkey | 1 | 7% |
| Australia | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 3 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| United Kingdom | 4 | 1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Czechia | 1 | <1% |
| Japan | 1 | <1% |
| Canada | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 257 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 75 | 27% |
| Student > Ph. D. Student | 61 | 22% |
| Student > Master | 24 | 9% |
| Professor > Associate Professor | 20 | 7% |
| Student > Bachelor | 16 | 6% |
| Other | 50 | 18% |
| Unknown | 30 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 102 | 37% |
| Medicine and Dentistry | 45 | 16% |
| Biochemistry, Genetics and Molecular Biology | 38 | 14% |
| Psychology | 16 | 6% |
| Neuroscience | 7 | 3% |
| Other | 29 | 11% |
| Unknown | 39 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 18 October 2021.
All research outputs
#531,872
of 25,837,817 outputs
Outputs from Genome Research
#143
of 4,469 outputs
Outputs of similar age
#2,534
of 181,469 outputs
Outputs of similar age from Genome Research
#1
of 50 outputs
Altmetric has tracked 25,837,817 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 4,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done particularly well, scoring higher than 96% 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 181,469 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 50 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 98% of its contemporaries.