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The rise of a digital immune system

Overview of attention for article published in Giga Science, July 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
2 blogs
twitter
49 X users

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
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Title
The rise of a digital immune system
Published in
Giga Science, July 2012
DOI 10.1186/2047-217x-1-4
Pubmed ID
Authors

Michael C Schatz, Adam M Phillippy

Abstract

Driven by million-fold improvements in biotechnology, biology is increasingly shifting towards high-resolution, quantitative approaches to study the molecular dynamics of entire populations. One exciting application enabled by this new era of biology is the "digital immune system". It would work in much the same way as an adaptive, biological immune system: by observing the microbial landscape, detecting potential threats, and neutralizing them before they spread beyond control. With the potential to have an enormous impact on public health, it is time to integrate the necessary biotechnology, computational, and organizational systems to seed the development of a global, sequencing-based pathogen surveillance system.

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Hong Kong 2 3%
United States 2 3%
Germany 1 2%
Unknown 58 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Bachelor 9 14%
Other 8 12%
Student > Master 7 11%
Student > Ph. D. Student 6 9%
Other 14 22%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 34%
Biochemistry, Genetics and Molecular Biology 13 20%
Computer Science 8 12%
Engineering 3 5%
Environmental Science 2 3%
Other 11 17%
Unknown 6 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 16 February 2016.
All research outputs
#1,003,274
of 25,373,627 outputs
Outputs from Giga Science
#147
of 1,167 outputs
Outputs of similar age
#5,181
of 177,933 outputs
Outputs of similar age from Giga Science
#3
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 87% 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 177,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.