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 |
Stable inheritance of DNA methylation allows creation of epigenotype maps and the study of epiallele inheritance patterns in the absence of genetic variation
|
|---|---|
| Published in |
Genome Biology, August 2017
|
| DOI | 10.1186/s13059-017-1288-x |
| Pubmed ID | |
| Authors |
Brigitte T. Hofmeister, Kevin Lee, Nicholas A. Rohr, David W. Hall, Robert J. Schmitz |
| Abstract |
Differences in DNA methylation can arise as epialleles, which are loci that differ in chromatin state and are inherited over generations. Epialleles offer an additional source of variation that can affect phenotypic diversity beyond changes to nucleotide sequence. Previous research has looked at the rate at which spontaneous epialleles arise but it is currently unknown how they are maintained across generations. We used two Arabidopsis thaliana mutation accumulation (MA) lines and determined that over 99.998% of the methylated regions in the genome are stably inherited across each generation indicating that spontaneous epialleles are rare. We also developed a novel procedure that determines genotypes for offspring of genetically identical parents using only DNA methylation data. The resulting epigenotype maps are highly accurate and strongly agree with expected allele frequency and crossover number. Using epigenotype maps, we explore the inheritance of methylation states in regions of differential methylation between the parents of genetic crosses. Over half of the regions show methylation levels consistent with cis inheritance, whereas the other half show evidence of trans-chromosomal methylation and demethylation as well as other possibilities. DNA methylation is stably inherited by offspring and spontaneous epialleles are rare. The epigenotyping procedure that we describe provides an important first step to epigenetic quantitative trait loci mapping in genetically identical individuals. |
X Demographics
The data shown below were collected from the profiles of 67 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 | 11 | 16% |
| United Kingdom | 5 | 7% |
| Australia | 5 | 7% |
| Georgia | 4 | 6% |
| Germany | 3 | 4% |
| India | 2 | 3% |
| Netherlands | 2 | 3% |
| Spain | 2 | 3% |
| France | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 24 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 34 | 51% |
| Members of the public | 29 | 43% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 164 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 26% |
| Researcher | 23 | 14% |
| Student > Master | 20 | 12% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 7 | 4% |
| Other | 17 | 10% |
| Unknown | 42 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 41% |
| Biochemistry, Genetics and Molecular Biology | 35 | 21% |
| Medicine and Dentistry | 3 | 2% |
| Environmental Science | 2 | 1% |
| Social Sciences | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 47 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 May 2022.
All research outputs
#831,022
of 25,393,528 outputs
Outputs from Genome Biology
#551
of 4,470 outputs
Outputs of similar age
#16,384
of 309,268 outputs
Outputs of similar age from Genome Biology
#13
of 58 outputs
Altmetric has tracked 25,393,528 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 87% 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 309,268 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 94% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.