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Using Bayesian state-space models to understand the population dynamics of the dominant malaria vector, Anopheles funestus in rural Tanzania

Overview of attention for article published in Malaria Journal, June 2022
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
31 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Using Bayesian state-space models to understand the population dynamics of the dominant malaria vector, Anopheles funestus in rural Tanzania
Published in
Malaria Journal, June 2022
DOI 10.1186/s12936-022-04189-4
Pubmed ID
Authors

Halfan S. Ngowo, Fredros O. Okumu, Emmanuel E. Hape, Issa H. Mshani, Heather M. Ferguson, Jason Matthiopoulos

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Student > Ph. D. Student 4 11%
Student > Master 4 11%
Student > Doctoral Student 2 5%
Librarian 2 5%
Other 4 11%
Unknown 16 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 13%
Medicine and Dentistry 3 8%
Engineering 3 8%
Environmental Science 2 5%
Computer Science 2 5%
Other 5 13%
Unknown 18 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 14 June 2022.
All research outputs
#1,825,965
of 24,976,442 outputs
Outputs from Malaria Journal
#314
of 5,838 outputs
Outputs of similar age
#40,492
of 437,152 outputs
Outputs of similar age from Malaria Journal
#7
of 97 outputs
Altmetric has tracked 24,976,442 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,838 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 94% 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 437,152 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 90% of its contemporaries.
We're also able to compare this research output to 97 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.