Title |
Conservation and divergence of transcriptomic and epigenomic variation in maize hybrids
|
---|---|
Published in |
Genome Biology, June 2013
|
DOI | 10.1186/gb-2013-14-6-r57 |
Pubmed ID | |
Authors |
Guangming He, Beibei Chen, Xuncheng Wang, Xueyong Li, Jigang Li, Hang He, Mei Yang, Lu Lu, Yijun Qi, Xiping Wang, Xing Wang Deng |
Abstract |
Recent genome-wide studies suggested that in addition to genetic variations, epigenetic variations may also be associated with differential gene expression and growth vigor in plant hybrids. Maize is an ideal model system for the study of epigenetic variations in hybrids given the significant heterotic performance, the well-known complexity of the genome, and the rich history in epigenetic studies. However, integrated comparative transcriptomic and epigenomic analyses in different organs of maize hybrids remain largely unexplored. |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 3 | 33% |
United States | 3 | 33% |
France | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 44% |
Scientists | 3 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 3% |
Brazil | 2 | 2% |
United States | 2 | 2% |
New Zealand | 1 | <1% |
Germany | 1 | <1% |
Unknown | 106 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 39 | 34% |
Researcher | 24 | 21% |
Student > Doctoral Student | 10 | 9% |
Student > Master | 7 | 6% |
Professor | 5 | 4% |
Other | 13 | 11% |
Unknown | 17 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 73 | 63% |
Biochemistry, Genetics and Molecular Biology | 12 | 10% |
Environmental Science | 3 | 3% |
Social Sciences | 3 | 3% |
Computer Science | 2 | 2% |
Other | 2 | 2% |
Unknown | 20 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 31 March 2015.
All research outputs
#7,094,428
of 25,661,882 outputs
Outputs from Genome Biology
#3,241
of 4,498 outputs
Outputs of similar age
#56,843
of 210,422 outputs
Outputs of similar age from Genome Biology
#48
of 63 outputs
Altmetric has tracked 25,661,882 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,498 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 27th percentile – i.e., 27% 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 210,422 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.