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Eco-epidemiology of Novel Bartonella Genotypes from Parasitic Flies of Insectivorous Bats

Overview of attention for article published in Microbial Ecology, April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Citations

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61 Mendeley
Title
Eco-epidemiology of Novel Bartonella Genotypes from Parasitic Flies of Insectivorous Bats
Published in
Microbial Ecology, April 2018
DOI 10.1007/s00248-018-1195-z
Pubmed ID
Authors

Attila D. Sándor, Mihály Földvári, Aleksandra I. Krawczyk, Hein Sprong, Alexandra Corduneanu, Levente Barti, Tamás Görföl, Péter Estók, Dávid Kováts, Sándor Szekeres, Zoltán László, Sándor Hornok, Gábor Földvári

Abstract

Bats are important zoonotic reservoirs for many pathogens worldwide. Although their highly specialized ectoparasites, bat flies (Diptera: Hippoboscoidea), can transmit Bartonella bacteria including human pathogens, their eco-epidemiology is unexplored. Here, we analyzed the prevalence and diversity of Bartonella strains sampled from 10 bat fly species from 14 European bat species. We found high prevalence of Bartonella spp. in most bat fly species with wide geographical distribution. Bat species explained most of the variance in Bartonella distribution with the highest prevalence of infected flies recorded in species living in dense groups exclusively in caves. Bat gender but not bat fly gender was also an important factor with the more mobile male bats giving more opportunity for the ectoparasites to access several host individuals. We detected high diversity of Bartonella strains (18 sequences, 7 genotypes, in 9 bat fly species) comparable with tropical assemblages of bat-bat fly association. Most genotypes are novel (15 out of 18 recorded strains have a similarity of 92-99%, with three sequences having 100% similarity to Bartonella spp. sequences deposited in GenBank) with currently unknown pathogenicity; however, 4 of these sequences are similar (up to 92% sequence similarity) to Bartonella spp. with known zoonotic potential. The high prevalence and diversity of Bartonella spp. suggests a long shared evolution of these bacteria with bat flies and bats providing excellent study targets for the eco-epidemiology of host-vector-pathogen cycles.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 26%
Researcher 7 11%
Student > Doctoral Student 6 10%
Student > Ph. D. Student 5 8%
Student > Bachelor 4 7%
Other 4 7%
Unknown 19 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 31%
Veterinary Science and Veterinary Medicine 8 13%
Biochemistry, Genetics and Molecular Biology 5 8%
Environmental Science 2 3%
Computer Science 1 2%
Other 3 5%
Unknown 23 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 16 October 2018.
All research outputs
#4,059,831
of 23,342,232 outputs
Outputs from Microbial Ecology
#420
of 2,088 outputs
Outputs of similar age
#78,217
of 326,948 outputs
Outputs of similar age from Microbial Ecology
#15
of 38 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,088 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 79% 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 326,948 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 76% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.