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Mendeley readers
Attention Score in Context
| Title |
Whole genome single nucleotide polymorphism based phylogeny of Francisella tularensis and its application to the development of a strain typing assay
|
|---|---|
| Published in |
BMC Microbiology, October 2009
|
| DOI | 10.1186/1471-2180-9-213 |
| Pubmed ID | |
| Authors |
Gagan A Pandya, Michael H Holmes, Jeannine M Petersen, Sonal Pradhan, Svetlana A Karamycheva, Mark J Wolcott, Claudia Molins, Marcus Jones, Martin E Schriefer, Robert D Fleischmann, Scott N Peterson |
| Abstract |
A low genetic diversity in Francisella tularensis has been documented. Current DNA based genotyping methods for typing F. tularensis offer a limited and varying degree of subspecies, clade and strain level discrimination power. Whole genome sequencing is the most accurate and reliable method to identify, type and determine phylogenetic relationships among strains of a species. However, lower cost typing schemes are necessary in order to enable typing of hundreds or even thousands of isolates. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 3% |
| United States | 1 | 1% |
| France | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 65 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 31% |
| Student > Ph. D. Student | 12 | 17% |
| Professor > Associate Professor | 9 | 13% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 53% |
| Immunology and Microbiology | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Medicine and Dentistry | 4 | 6% |
| Computer Science | 3 | 4% |
| Other | 1 | 1% |
| Unknown | 10 | 14% |
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 25 November 2013.
All research outputs
#15,285,728
of 22,731,677 outputs
Outputs from BMC Microbiology
#1,760
of 3,174 outputs
Outputs of similar age
#77,992
of 93,556 outputs
Outputs of similar age from BMC Microbiology
#11
of 12 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,174 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 37th percentile – i.e., 37% 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 93,556 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.