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Rickettsia asembonensis Characterization by Multilocus Sequence Typing of Complete Genes, Peru - Volume 24, Number 5—May 2018 - Emerging Infectious Diseases journal - CDC

Overview of attention for article published in Emerging Infectious Diseases, May 2018
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Title
Rickettsia asembonensis Characterization by Multilocus Sequence Typing of Complete Genes, Peru - Volume 24, Number 5—May 2018 - Emerging Infectious Diseases journal - CDC
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.

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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.
Mendeley readers

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

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
of 9,147 outputs
Outputs of similar age
#252,922
of 326,142 outputs
Outputs of similar age from Emerging Infectious Diseases
#108
of 117 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.8. This one is in the 3rd percentile – i.e., 3% 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 326,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 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.