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Exploiting mosquito sugar feeding to detect mosquito-borne pathogens

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, June 2010
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
13 X users
patent
2 patents

Citations

dimensions_citation
132 Dimensions

Readers on

mendeley
257 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Exploiting mosquito sugar feeding to detect mosquito-borne pathogens
Published in
Proceedings of the National Academy of Sciences of the United States of America, June 2010
DOI 10.1073/pnas.1002040107
Pubmed ID
Authors

Sonja Hall-Mendelin, Scott A. Ritchie, Cheryl A. Johansen, Paul Zborowski, Giles Cortis, Scott Dandridge, Roy A. Hall, Andrew F. van den Hurk

Abstract

Arthropod-borne viruses (arboviruses) represent a global public health problem, with dengue viruses causing millions of infections annually, while emerging arboviruses, such as West Nile, Japanese encephalitis, and chikungunya viruses have dramatically expanded their geographical ranges. Surveillance of arboviruses provides vital data regarding their prevalence and distribution that may be utilized for biosecurity measures and the implementation of disease control strategies. However, current surveillance methods that involve detection of virus in mosquito populations or sero-conversion in vertebrate hosts are laborious, expensive, and logistically problematic. We report a unique arbovirus surveillance system to detect arboviruses that exploits the process whereby mosquitoes expectorate virus in their saliva during sugar feeding. In this system, infected mosquitoes captured by CO(2)-baited updraft box traps are allowed to feed on honey-soaked nucleic acid preservation cards within the trap. The cards are then analyzed for expectorated virus using real-time reverse transcription-PCR. In field trials, this system detected the presence of Ross River and Barmah Forest viruses in multiple traps deployed at two locations in Australia. Viral RNA was preserved for at least seven days on the cards, allowing for long-term placement of traps and continuous collection of data documenting virus presence in mosquito populations. Furthermore no mosquito handling or processing was required and cards were conveniently shipped to the laboratory overnight. The simplicity and efficacy of this approach has the potential to transform current approaches to vector-borne disease surveillance by streamlining the monitoring of pathogens in vector populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Madagascar 2 <1%
Switzerland 1 <1%
Tanzania, United Republic of 1 <1%
Brazil 1 <1%
Germany 1 <1%
South Africa 1 <1%
France 1 <1%
Unknown 244 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 71 28%
Student > Ph. D. Student 38 15%
Student > Master 33 13%
Other 15 6%
Student > Bachelor 15 6%
Other 49 19%
Unknown 36 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 102 40%
Medicine and Dentistry 30 12%
Biochemistry, Genetics and Molecular Biology 23 9%
Immunology and Microbiology 16 6%
Veterinary Science and Veterinary Medicine 9 4%
Other 32 12%
Unknown 45 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 12 December 2023.
All research outputs
#792,228
of 24,677,985 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#13,003
of 101,620 outputs
Outputs of similar age
#2,219
of 101,142 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#50
of 705 outputs
Altmetric has tracked 24,677,985 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 101,620 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 87% 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 101,142 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 97% of its contemporaries.
We're also able to compare this research output to 705 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 93% of its contemporaries.