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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolution of cis-regulatory elements in yeast de novo and duplicated new genes
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-717 |
| Pubmed ID | |
| Authors |
Zing Tsung-Yeh Tsai, Huai-Kuang Tsai, Jen-Hao Cheng, Chih-Hsu Lin, Yuan-Fan Tsai, Daryi Wang |
| Abstract |
New genes that originate from non-coding DNA rather than being duplicated from parent genes are called de novo genes. Their short evolution time and lack of parent genes provide a chance to study the evolution of cis-regulatory elements in the initial stage of gene emergence. Although a few reports have discussed cis-regulatory elements in new genes, knowledge of the characteristics of these elements in de novo genes is lacking. Here, we conducted a comprehensive investigation to depict the emergence and establishment of cis-regulatory elements in de novo yeast genes. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 2 | 4% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 42 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 19% |
| Student > Ph. D. Student | 9 | 19% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Professor | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 47% |
| Biochemistry, Genetics and Molecular Biology | 12 | 26% |
| Unspecified | 1 | 2% |
| Environmental Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 8 | 17% |
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 23 December 2012.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#228,769
of 288,769 outputs
Outputs of similar age from BMC Genomics
#145
of 200 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.