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Genomic approaches for understanding dengue: insights from the virus, vector, and host

Overview of attention for article published in Genome Biology (Online Edition), March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
1 blog
twitter
19 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
248 Mendeley
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Title
Genomic approaches for understanding dengue: insights from the virus, vector, and host
Published in
Genome Biology (Online Edition), March 2016
DOI 10.1186/s13059-016-0907-2
Pubmed ID
Authors

Shuzhen Sim, Martin L. Hibberd

Abstract

The incidence and geographic range of dengue have increased dramatically in recent decades. Climate change, rapid urbanization and increased global travel have facilitated the spread of both efficient mosquito vectors and the four dengue virus serotypes between population centers. At the same time, significant advances in genomics approaches have provided insights into host-pathogen interactions, immunogenetics, and viral evolution in both humans and mosquitoes. Here, we review these advances and the innovative treatment and control strategies that they are inspiring.

Twitter Demographics

The data shown below were collected from the profiles of 19 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 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 1%
Mexico 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Portugal 1 <1%
Colombia 1 <1%
India 1 <1%
Unknown 237 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 17%
Student > Ph. D. Student 38 15%
Researcher 36 15%
Student > Bachelor 33 13%
Student > Postgraduate 22 9%
Other 38 15%
Unknown 38 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 24%
Biochemistry, Genetics and Molecular Biology 54 22%
Immunology and Microbiology 27 11%
Medicine and Dentistry 23 9%
Engineering 8 3%
Other 30 12%
Unknown 46 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 23 March 2017.
All research outputs
#1,626,455
of 21,514,875 outputs
Outputs from Genome Biology (Online Edition)
#1,525
of 3,980 outputs
Outputs of similar age
#28,352
of 279,671 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,514,875 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,980 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 279,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them