| Title |
Detection of horizontal transfer of individual genes by anomalous oligomer frequencies
|
|---|---|
| Published in |
BMC Genomics, June 2012
|
| DOI | 10.1186/1471-2164-13-245 |
| Pubmed ID | |
| Authors |
Jeff Elhai, Hailan Liu, Arnaud Taton |
| Abstract |
Understanding the history of life requires that we understand the transfer of genetic material across phylogenetic boundaries. Detecting genes that were acquired by means other than vertical descent is a basic step in that process. Detection by discordant phylogenies is computationally expensive and not always definitive. Many have used easily computed compositional features as an alternative procedure. However, different compositional methods produce different predictions, and the effectiveness of any method is not well established. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 7% |
| Chile | 1 | 3% |
| Germany | 1 | 3% |
| Spain | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 23 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 28% |
| Student > Ph. D. Student | 7 | 24% |
| Professor | 4 | 14% |
| Student > Master | 3 | 10% |
| Professor > Associate Professor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 62% |
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Computer Science | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Earth and Planetary Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 2 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 June 2012.
All research outputs
#15,396,267
of 25,712,965 outputs
Outputs from BMC Genomics
#5,436
of 11,306 outputs
Outputs of similar age
#104,419
of 180,153 outputs
Outputs of similar age from BMC Genomics
#60
of 148 outputs
Altmetric has tracked 25,712,965 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,306 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 180,153 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.