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Modeling the effectiveness of targeting Rift Valley fever virus vaccination using imperfect network information

Overview of attention for article published in Frontiers in Veterinary Science, June 2023
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
16 X users

Readers on

mendeley
17 Mendeley
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Title
Modeling the effectiveness of targeting Rift Valley fever virus vaccination using imperfect network information
Published in
Frontiers in Veterinary Science, June 2023
DOI 10.3389/fvets.2023.1049633
Pubmed ID
Authors

Tijani A. Sulaimon, Gemma L. Chaters, Obed M. Nyasebwa, Emanuel S. Swai, Sarah Cleaveland, Jessica Enright, Rowland R. Kao, Paul C. D. Johnson

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Other 1 6%
Unknown 11 65%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 6%
Mathematics 1 6%
Agricultural and Biological Sciences 1 6%
Immunology and Microbiology 1 6%
Engineering 1 6%
Other 0 0%
Unknown 12 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 10 August 2023.
All research outputs
#3,566,478
of 26,446,252 outputs
Outputs from Frontiers in Veterinary Science
#724
of 8,531 outputs
Outputs of similar age
#63,289
of 384,643 outputs
Outputs of similar age from Frontiers in Veterinary Science
#24
of 378 outputs
Altmetric has tracked 26,446,252 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,531 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 91% 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 384,643 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 378 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.