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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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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
31 Mendeley
citeulike
1 CiteULike
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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 2 6%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Ph. D. Student 5 16%
Student > Postgraduate 2 6%
Student > Master 2 6%
Student > Bachelor 1 3%
Other 0 0%
Unknown 15 48%
Readers by discipline Count As %
Psychology 3 10%
Agricultural and Biological Sciences 3 10%
Mathematics 2 6%
Computer Science 2 6%
Medicine and Dentistry 2 6%
Other 4 13%
Unknown 15 48%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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
#7,762,457
of 12,373,180 outputs
Outputs from BMC Infectious Diseases
#2,562
of 4,592 outputs
Outputs of similar age
#63,665
of 116,219 outputs
Outputs of similar age from BMC Infectious Diseases
#20
of 35 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,592 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 35th percentile – i.e., 35% 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 116,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.