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Identifying Optimal Vaccination Strategies for Serogroup A Neisseria meningitidis Conjugate Vaccine in the African Meningitis Belt

Overview of attention for article published in PLOS ONE, May 2013
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Citations

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36 Dimensions

Readers on

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67 Mendeley
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Title
Identifying Optimal Vaccination Strategies for Serogroup A Neisseria meningitidis Conjugate Vaccine in the African Meningitis Belt
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063605
Pubmed ID
Authors

Sara Tartof, Amanda Cohn, Félix Tarbangdo, Mamoudou H. Djingarey, Nancy Messonnier, Thomas A. Clark, Jean Ludovic Kambou, Ryan Novak, Fabien V. K. Diomandé, Isaïe Medah, Michael L. Jackson

Abstract

The optimal long-term vaccination strategies to provide population-level protection against serogroup A Neisseria meningitidis (MenA) are unknown. We developed an age-structured mathematical model of MenA transmission, colonization, and disease in the African meningitis belt, and used this model to explore the impact of various vaccination strategies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Burkina Faso 1 1%
United States 1 1%
Italy 1 1%
Switzerland 1 1%
Unknown 63 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Researcher 9 13%
Student > Master 8 12%
Student > Bachelor 5 7%
Other 5 7%
Other 9 13%
Unknown 15 22%
Readers by discipline Count As %
Medicine and Dentistry 18 27%
Agricultural and Biological Sciences 8 12%
Mathematics 5 7%
Social Sciences 4 6%
Computer Science 3 4%
Other 12 18%
Unknown 17 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2013.
All research outputs
#13,889,994
of 22,710,079 outputs
Outputs from PLOS ONE
#112,051
of 193,906 outputs
Outputs of similar age
#106,469
of 193,636 outputs
Outputs of similar age from PLOS ONE
#2,644
of 4,936 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,906 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 193,636 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,936 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.