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Rift Valley Fever Epidemiology, Surveillance, and Control: What Have Models Contributed?

Overview of attention for article published in Vector Borne & Zoonotic Diseases, June 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

policy
2 policy sources

Readers on

mendeley
172 Mendeley
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Article details
Title
Rift Valley Fever Epidemiology, Surveillance, and Control: What Have Models Contributed?
Published in
Vector Borne & Zoonotic Diseases, June 2011
DOI 10.1089/vbz.2010.0200
Pubmed ID
Authors
Abstract

Rift Valley fever (RVF) is an emerging vector-borne zoonotic disease that represents a threat to human health, animal health, and livestock production, particularly in Africa. The epidemiology of RVF is not well understood, so that forecasting RVF outbreaks and carrying out efficient and timely control measures remains a challenge. Various epidemiological modeling tools have been used to increase knowledge on RVF epidemiology and to inform disease management policies.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 4 2%
United States 1 <1%
Kenya 1 <1%
Germany 1 <1%
Chile 1 <1%
Unknown 164 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 47 27%
Student > Master 22 13%
Student > Ph. D. Student 20 12%
Student > Bachelor 11 6%
Professor 9 5%
Other 25 15%
Unknown 38 22%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 39 23%
Veterinary Science and Veterinary Medicine 23 13%
Medicine and Dentistry 21 12%
Social Sciences 9 5%
Immunology and Microbiology 5 3%
Other 30 17%
Unknown 45 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2020.
All research outputs
#7,582,403
of 34,364,397 outputs
Outputs from Vector Borne & Zoonotic Diseases
#366
of 1,915 outputs
Outputs of similar age
#37,819
of 162,414 outputs
Outputs of similar age from Vector Borne & Zoonotic Diseases
#7
of 40 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,915 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 76% 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 162,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.