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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A quantitative genetic and epigenetic model of complex traits
|
|---|---|
| Published in |
BMC Bioinformatics, October 2012
|
| DOI | 10.1186/1471-2105-13-274 |
| Pubmed ID | |
| Authors |
Zhong Wang, Zuoheng Wang, Jianxin Wang, Yihan Sui, Jian Zhang, Duanping Liao, Rongling Wu |
| Abstract |
Despite our increasing recognition of the mechanisms that specify and propagate epigenetic states of gene expression, the pattern of how epigenetic modifications contribute to the overall genetic variation of a phenotypic trait remains largely elusive. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| Australia | 1 | 2% |
| United Kingdom | 1 | 2% |
| Belgium | 1 | 2% |
| Denmark | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 38 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 31% |
| Researcher | 14 | 31% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Professor > Associate Professor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 64% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Physics and Astronomy | 2 | 4% |
| Computer Science | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 6 | 13% |
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 29 October 2012.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from BMC Bioinformatics
#6,287
of 7,252 outputs
Outputs of similar age
#139,953
of 183,259 outputs
Outputs of similar age from BMC Bioinformatics
#83
of 107 outputs
Altmetric has tracked 22,684,168 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 7,252 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 183,259 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% 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 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.