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Modeling the public health impact of malaria vaccines for developers and policymakers

Overview of attention for article published in BMC Infectious Diseases, July 2013
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Modeling the public health impact of malaria vaccines for developers and policymakers
Published in
BMC Infectious Diseases, July 2013
DOI 10.1186/1471-2334-13-295
Pubmed ID
Authors

Julia K Nunes, Vicky Cárdenas, Christian Loucq, Nicolas Maire, Thomas Smith, Craig Shaffer, Kårstein Måseide, Alan Brooks

Abstract

Efforts to develop malaria vaccines show promise. Mathematical model-based estimates of the potential demand, public health impact, and cost and financing requirements can be used to inform investment and adoption decisions by vaccine developers and policymakers on the use of malaria vaccines as complements to existing interventions. However, the complexity of such models may make their outputs inaccessible to non-modeling specialists. This paper describes a Malaria Vaccine Model (MVM) developed to address the specific needs of developers and policymakers, who need to access sophisticated modeling results and to test various scenarios in a user-friendly interface. The model's functionality is demonstrated through a hypothetical vaccine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
India 1 1%
Unknown 92 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Researcher 16 17%
Student > Master 14 15%
Other 5 5%
Student > Bachelor 4 4%
Other 18 19%
Unknown 19 20%
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Agricultural and Biological Sciences 10 11%
Social Sciences 8 9%
Nursing and Health Professions 7 7%
Economics, Econometrics and Finance 7 7%
Other 19 20%
Unknown 26 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 July 2013.
All research outputs
#12,818,200
of 22,713,403 outputs
Outputs from BMC Infectious Diseases
#2,944
of 7,657 outputs
Outputs of similar age
#97,803
of 194,634 outputs
Outputs of similar age from BMC Infectious Diseases
#59
of 147 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,657 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 61% 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 194,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.