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Attention Score in Context
| Title |
Genetic Diversity of Tick-Borne Rickettsial Pathogens; Insights Gained from Distant Strains
|
|---|---|
| Published in |
Pathogens, January 2014
|
| DOI | 10.3390/pathogens3010057 |
| Pubmed ID | |
| Authors |
Sebastián Aguilar Pierlé, Ivan Imaz Rosshandler, Ammielle Akim Kerudin, Jacqueline Sambono, Ala Lew-Tabor, Peter Rolls, Claudia Rangel-Escareño, Kelly A. Brayton |
| Abstract |
The ability to capture genetic variation with unprecedented resolution improves our understanding of bacterial populations and their ability to cause disease. The goal of the pathogenomics era is to define genetic diversity that results in disease. Despite the economic losses caused by vector-borne bacteria in the Order Rickettsiales, little is known about the genetic variants responsible for observed phenotypes. The tick-transmitted rickettsial pathogen Anaplasma marginale infects cattle in tropical and subtropical regions worldwide, including Australia. Genomic analysis of North American A. marginale strains reveals a closed core genome defined by high levels of Single Nucleotide Polymorphisms (SNPs). Here we report the first genome sequences and comparative analysis for Australian strains that differ in virulence and transmissibility. A list of genetic differences that segregate with phenotype was evaluated for the ability to distinguish the attenuated strain from virulent field strains. Phylogenetic analyses of the Australian strains revealed a marked evolutionary distance from all previously sequenced strains. SNP analysis showed a strikingly reduced genetic diversity between these strains, with the smallest number of SNPs detected between any two A. marginale strains. The low diversity between these phenotypically distinct bacteria presents a unique opportunity to identify the genetic determinants of virulence and transmission. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 38 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Researcher | 6 | 15% |
| Student > Ph. D. Student | 6 | 15% |
| Professor | 4 | 10% |
| Student > Doctoral Student | 4 | 10% |
| Other | 5 | 13% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 43% |
| Veterinary Science and Veterinary Medicine | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 September 2022.
All research outputs
#6,274,356
of 23,213,531 outputs
Outputs from Pathogens
#618
of 3,920 outputs
Outputs of similar age
#73,510
of 308,703 outputs
Outputs of similar age from Pathogens
#3
of 14 outputs
Altmetric has tracked 23,213,531 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,920 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 83% of its peers.
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 308,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.