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Finding and removing highly connected individuals using suboptimal vaccines

Overview of attention for article published in BMC Infectious Diseases, March 2012
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
20 Mendeley
citeulike
1 CiteULike
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Title
Finding and removing highly connected individuals using suboptimal vaccines
Published in
BMC Infectious Diseases, March 2012
DOI 10.1186/1471-2334-12-51
Pubmed ID
Authors

Beatriz Vidondo, Markus Schwehm, Andrea Bühlmann, Martin Eichner

Abstract

Social networks are often highly skewed, meaning that the vast majority of the population has only few contacts whereas a small minority has a large number of contacts. These highly connected individuals may play an important role in case of an infectious disease outbreak.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Ph. D. Student 5 25%
Student > Master 3 15%
Student > Bachelor 2 10%
Student > Postgraduate 2 10%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Psychology 3 15%
Agricultural and Biological Sciences 3 15%
Mathematics 2 10%
Computer Science 2 10%
Social Sciences 2 10%
Other 7 35%
Unknown 1 5%
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 05 March 2012.
All research outputs
#14,724,943
of 22,663,150 outputs
Outputs from BMC Infectious Diseases
#4,046
of 7,636 outputs
Outputs of similar age
#97,059
of 156,007 outputs
Outputs of similar age from BMC Infectious Diseases
#42
of 80 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,636 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 42nd percentile – i.e., 42% 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 156,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.