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Airborne geographical dispersal of Q fever from livestock holdings to human communities: a systematic review and critical appraisal of evidence

Overview of attention for article published in BMC Infectious Diseases, May 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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3 news outlets
blogs
1 blog
twitter
18 X users
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3 Facebook pages

Citations

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95 Dimensions

Readers on

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121 Mendeley
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Title
Airborne geographical dispersal of Q fever from livestock holdings to human communities: a systematic review and critical appraisal of evidence
Published in
BMC Infectious Diseases, May 2018
DOI 10.1186/s12879-018-3135-4
Pubmed ID
Authors

Nicholas J. Clark, Ricardo J. Soares Magalhães

Abstract

Q fever is a zoonotic disease caused by Coxiella burnetii. This bacterium survives harsh conditions and attaches to dust, suggesting environmental dispersal is a risk factor for outbreaks. Spatial epidemiology studies collating evidence on Q fever geographical contamination gradients are needed, as human cases without occupational exposure are increasing worldwide. We used a systematic literature search to assess the role of distance from ruminant holdings as a risk factor for human Q fever outbreaks. We also collated evidence for other putative drivers of C. burnetii geographical dispersal. In all documented outbreaks, infective sheep or goats, not cattle, was the likely source. Evidence suggests a prominent role of airborne dispersal; Coxiella burnetii travels up to 18 km on gale force winds. In rural areas, highest infection risk occurs within 5 km of sources. Urban outbreaks generally occur over smaller distances, though evidence on attack rate gradients is limited. Wind speed / direction, spreading of animal products, and stocking density may all contribute to C. burnetii environmental gradients. Q fever environmental gradients depend on urbanization level, ruminant species, stocking density and wind speed. While more research is needed, evidence suggests that residential exclusion zones around holdings may be inadequate to contain this zoonotic disease, and should be species-specific.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 13%
Researcher 15 12%
Student > Ph. D. Student 10 8%
Student > Bachelor 9 7%
Student > Postgraduate 7 6%
Other 19 16%
Unknown 45 37%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 23 19%
Agricultural and Biological Sciences 14 12%
Medicine and Dentistry 13 11%
Biochemistry, Genetics and Molecular Biology 7 6%
Immunology and Microbiology 4 3%
Other 8 7%
Unknown 52 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 30 August 2022.
All research outputs
#942,868
of 24,292,134 outputs
Outputs from BMC Infectious Diseases
#215
of 8,131 outputs
Outputs of similar age
#21,576
of 330,992 outputs
Outputs of similar age from BMC Infectious Diseases
#4
of 142 outputs
Altmetric has tracked 24,292,134 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 97% 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 330,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.