↓ Skip to main content

Exploring the Mosquito–Arbovirus Network: A Survey of Vector Competence Experiments

Overview of attention for article published in The American Journal of Tropical Medicine and Hygiene, April 2023
Altmetric Badge

About this Attention Score

  • In the top 25% 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 (99th percentile)

Mentioned by

twitter
51 X users
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Exploring the Mosquito–Arbovirus Network: A Survey of Vector Competence Experiments
Published in
The American Journal of Tropical Medicine and Hygiene, April 2023
DOI 10.4269/ajtmh.22-0511
Pubmed ID
Authors

Binqi Chen, Amy R. Sweeny, Velen Y. Wu, Rebecca C. Christofferson, Gregory Ebel, Anna C. Fagre, Emily Gallichotte, Rebekah C. Kading, Sadie J. Ryan, Colin J. Carlson

Abstract

Arboviruses receive heightened research attention during major outbreaks or when they cause unusual or severe clinical disease, but they are otherwise undercharacterized. Global change is also accelerating the emergence and spread of arboviral diseases, leading to time-sensitive questions about potential interactions between viruses and novel vectors. Vector competence experiments help determine the susceptibility of certain arthropods to a given arbovirus, but these experiments are often conducted in real time during outbreaks, rather than with preparedness in mind. We conducted a systematic review of reported mosquito-arbovirus competence experiments, screening 570 abstracts to arrive at 265 studies testing in vivo arboviral competence. We found that more than 90% of potential mosquito-virus combinations are untested in experimental settings and that entire regions and their corresponding vectors and viruses are undersampled. These knowledge gaps stymie outbreak response and limit attempts to both build and validate predictive models of the vector-virus network.

X Demographics

X Demographics

The data shown below were collected from the profiles of 51 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Unspecified 2 11%
Student > Ph. D. Student 2 11%
Other 1 5%
Student > Postgraduate 1 5%
Other 1 5%
Unknown 8 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 16%
Unspecified 2 11%
Environmental Science 1 5%
Veterinary Science and Veterinary Medicine 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 3 16%
Unknown 8 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 06 July 2023.
All research outputs
#1,339,174
of 25,497,142 outputs
Outputs from The American Journal of Tropical Medicine and Hygiene
#307
of 9,528 outputs
Outputs of similar age
#27,797
of 420,880 outputs
Outputs of similar age from The American Journal of Tropical Medicine and Hygiene
#1
of 77 outputs
Altmetric has tracked 25,497,142 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,528 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 96% 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 420,880 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 77 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 99% of its contemporaries.