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Impact of viral drift on vaccination dynamics and patterns of seasonal influenza

Overview of attention for article published in BMC Infectious Diseases, December 2013
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  • Average Attention Score compared to outputs of the same age and source

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2 X users
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1 Google+ user

Citations

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13 Dimensions

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31 Mendeley
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Title
Impact of viral drift on vaccination dynamics and patterns of seasonal influenza
Published in
BMC Infectious Diseases, December 2013
DOI 10.1186/1471-2334-13-589
Pubmed ID
Authors

Yanyu Xiao, Seyed M Moghadas

Abstract

Much research has been devoted to the determination of optimal vaccination strategies for seasonal influenza epidemics. However, less attention has been paid to whether this optimization can be achieved within the context of viral drift.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 32%
Researcher 9 29%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 4 13%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 23%
Medicine and Dentistry 6 19%
Mathematics 3 10%
Immunology and Microbiology 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 5 16%
Unknown 5 16%
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 13 February 2022.
All research outputs
#14,145,546
of 23,114,117 outputs
Outputs from BMC Infectious Diseases
#3,627
of 7,755 outputs
Outputs of similar age
#174,869
of 309,137 outputs
Outputs of similar age from BMC Infectious Diseases
#55
of 122 outputs
Altmetric has tracked 23,114,117 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 7,755 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 50% 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 309,137 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 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 50% of its contemporaries.