Title |
Rickettsia asembonensis Characterization by Multilocus Sequence Typing of Complete Genes, Peru - Volume 24, Number 5—May 2018 - Emerging Infectious Diseases journal - CDC
|
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Published in |
Emerging Infectious Diseases, May 2018
|
DOI | 10.3201/eid2405.170323 |
Pubmed ID | |
Authors |
Steev Loyola, Carmen Flores-Mendoza, Armando Torre, Claudine Kocher, Melanie Melendrez, Alison Luce-Fedrow, Alice N. Maina, Allen L. Richards, Mariana Leguia |
Abstract |
While studying rickettsial infections in Peru, we detected Rickettsia asembonensis in fleas from domestic animals. We characterized 5 complete genomic regions (17kDa, gltA, ompA, ompB, and sca4) and conducted multilocus sequence typing and phylogenetic analyses. The molecular isolate from Peru is distinct from the original R. asembonensis strain from Kenya. |
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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 21% |
Student > Master | 4 | 17% |
Student > Doctoral Student | 3 | 13% |
Student > Ph. D. Student | 3 | 13% |
Researcher | 2 | 8% |
Other | 2 | 8% |
Unknown | 5 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 29% |
Veterinary Science and Veterinary Medicine | 4 | 17% |
Immunology and Microbiology | 4 | 17% |
Biochemistry, Genetics and Molecular Biology | 3 | 13% |
Computer Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 4 | 17% |
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 29 March 2018.
All research outputs
#18,594,219
of 23,031,582 outputs
Outputs from Emerging Infectious Diseases
#8,341
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Outputs of similar age
#252,922
of 326,142 outputs
Outputs of similar age from Emerging Infectious Diseases
#108
of 117 outputs
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