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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An automated approach for the identification of horizontal gene transfers from complete genomes reveals the rhizome of Rickettsiales
|
|---|---|
| Published in |
BMC Ecology and Evolution, December 2012
|
| DOI | 10.1186/1471-2148-12-243 |
| Pubmed ID | |
| Authors |
Phuong Thi Le, Hemalatha Golaconda Ramulu, Laurent Guijarro, Julien Paganini, Philippe Gouret, Olivier Chabrol, Dider Raoult, Pierre Pontarotti |
| Abstract |
Horizontal gene transfer (HGT) is considered to be a major force driving the evolutionary history of prokaryotes. HGT is widespread in prokaryotes, contributing to the genomic repertoire of prokaryotic organisms, and is particularly apparent in Rickettsiales genomes. Gene gains from both distantly and closely related organisms play crucial roles in the evolution of bacterial genomes. In this work, we focus on genes transferred from distantly related species into Rickettsiales species. |
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 | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| Mexico | 1 | 1% |
| Belgium | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 64 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 22% |
| Student > Master | 12 | 17% |
| Student > Ph. D. Student | 10 | 14% |
| Professor > Associate Professor | 6 | 9% |
| Student > Doctoral Student | 5 | 7% |
| Other | 12 | 17% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 54% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Environmental Science | 3 | 4% |
| Unspecified | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 9 | 13% |
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 08 January 2013.
All research outputs
#16,722,190
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#2,818
of 3,714 outputs
Outputs of similar age
#185,941
of 286,191 outputs
Outputs of similar age from BMC Ecology and Evolution
#39
of 58 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 21st percentile – i.e., 21% 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 286,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
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 is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.