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Mendeley readers
Attention Score in Context
| Title |
A multiple-outgroup approach to resolving division-level phylogenetic relationships using 16S rDNA data.
|
|---|---|
| Published in |
International Journal of Systematic and Evolutionary Microbiology, March 2001
|
| DOI | 10.1099/00207713-51-2-385 |
| Pubmed ID | |
| Authors |
D Dalevi, P Hugenholtz, L L Blackall |
| Abstract |
The 16S rRNA gene (16S rDNA) is currently the most widely used gene for estimating the evolutionary history of prokaryotes. To date, there are more than 30,000 16S rDNA sequences available from the core databases, GenBank, EMBL and DDBJ. This great number may cause a dilemma when composing datasets for phylogenetic analysis, since the choice and number of reference organisms are known to affect the resulting tree topology. A group of sequences appearing monophyletic in one dataset may not be so in another. This can be especially problematic when establishing the relationships of distantly related sequences at the division (phylum) level. In this study, a multiple-outgroup approach to resolving division-level phylogenetic relationships is suggested using 16S rDNA data. The approach is illustrated by two case studies concerning the monophyly of two recently proposed bacterial divisions, OP9 and OP10. |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 3% |
| United States | 2 | 3% |
| Brazil | 1 | 1% |
| South Africa | 1 | 1% |
| New Zealand | 1 | 1% |
| India | 1 | 1% |
| Denmark | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 57 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 28% |
| Student > Master | 13 | 19% |
| Professor | 9 | 13% |
| Student > Ph. D. Student | 8 | 12% |
| Professor > Associate Professor | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 64% |
| Environmental Science | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 10 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 February 2022.
All research outputs
#7,582,522
of 23,122,481 outputs
Outputs from International Journal of Systematic and Evolutionary Microbiology
#3,249
of 8,880 outputs
Outputs of similar age
#13,240
of 40,765 outputs
Outputs of similar age from International Journal of Systematic and Evolutionary Microbiology
#12
of 40 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,880 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 17th percentile – i.e., 17% 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 40,765 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 40 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.