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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, 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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
18 X users
googleplus
1 Google+ user

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
262 Mendeley
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Title
Genomic approaches for understanding dengue: insights from the virus, vector, and host
Published in
Genome Biology, 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 262 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 251 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 44 17%
Student > Ph. D. Student 39 15%
Researcher 38 15%
Student > Bachelor 33 13%
Student > Postgraduate 22 8%
Other 39 15%
Unknown 47 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 23%
Biochemistry, Genetics and Molecular Biology 52 20%
Immunology and Microbiology 28 11%
Medicine and Dentistry 25 10%
Engineering 8 3%
Other 34 13%
Unknown 55 21%
Attention Score in Context

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 18 May 2016.
All research outputs
#1,919,086
of 24,003,070 outputs
Outputs from Genome Biology
#1,679
of 4,279 outputs
Outputs of similar age
#31,484
of 302,401 outputs
Outputs of similar age from Genome Biology
#34
of 65 outputs
Altmetric has tracked 24,003,070 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 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has gotten more attention than average, scoring higher than 60% 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 302,401 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 65 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.