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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Origin and evolution of gene families in Bacteria and Archaea
|
|---|---|
| Published in |
BMC Bioinformatics, October 2011
|
| DOI | 10.1186/1471-2105-12-s9-s14 |
| Pubmed ID | |
| Authors |
R Eric Collins, Hugh Merz, Paul G Higgs |
| Abstract |
Comparison of complete genomes of Bacteria and Archaea shows that gene content varies considerably and that genomes evolve quite rapidly via gene duplication and deletion and horizontal gene transfer. We analyze a diverse set of 92 Bacteria and 79 Archaea in order to investigate the processes governing the origin and evolution of families of related genes within genomes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Mexico | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 52 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 28% |
| Researcher | 14 | 24% |
| Professor > Associate Professor | 5 | 9% |
| Professor | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 47% |
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Environmental Science | 2 | 3% |
| Computer Science | 2 | 3% |
| Physics and Astronomy | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 12 | 21% |
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 16 January 2014.
All research outputs
#14,187,012
of 22,739,983 outputs
Outputs from BMC Bioinformatics
#4,720
of 7,267 outputs
Outputs of similar age
#86,897
of 133,061 outputs
Outputs of similar age from BMC Bioinformatics
#57
of 83 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,267 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 30th percentile – i.e., 30% 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 133,061 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.