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Chapter 12: Human Microbiome Analysis

Overview of attention for article published in PLoS Computational Biology, December 2012
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
24 X users
patent
85 patents
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
409 Dimensions

Readers on

mendeley
1650 Mendeley
citeulike
6 CiteULike
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Title
Chapter 12: Human Microbiome Analysis
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002808
Pubmed ID
Authors

Xochitl C. Morgan, Curtis Huttenhower

Abstract

Humans are essentially sterile during gestation, but during and after birth, every body surface, including the skin, mouth, and gut, becomes host to an enormous variety of microbes, bacterial, archaeal, fungal, and viral. Under normal circumstances, these microbes help us to digest our food and to maintain our immune systems, but dysfunction of the human microbiota has been linked to conditions ranging from inflammatory bowel disease to antibiotic-resistant infections. Modern high-throughput sequencing and bioinformatic tools provide a powerful means of understanding the contribution of the human microbiome to health and its potential as a target for therapeutic interventions. This chapter will first discuss the historical origins of microbiome studies and methods for determining the ecological diversity of a microbial community. Next, it will introduce shotgun sequencing technologies such as metagenomics and metatranscriptomics, the computational challenges and methods associated with these data, and how they enable microbiome analysis. Finally, it will conclude with examples of the functional genomics of the human microbiome and its influences upon health and disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 1,650 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 27 2%
Brazil 7 <1%
Germany 6 <1%
Spain 6 <1%
United Kingdom 6 <1%
Mexico 5 <1%
Japan 4 <1%
India 4 <1%
Italy 3 <1%
Other 24 1%
Unknown 1558 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 356 22%
Researcher 317 19%
Student > Master 196 12%
Student > Bachelor 166 10%
Student > Doctoral Student 89 5%
Other 279 17%
Unknown 247 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 549 33%
Biochemistry, Genetics and Molecular Biology 239 14%
Medicine and Dentistry 196 12%
Immunology and Microbiology 110 7%
Computer Science 34 2%
Other 218 13%
Unknown 304 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 19 March 2024.
All research outputs
#1,344,440
of 25,711,518 outputs
Outputs from PLoS Computational Biology
#1,106
of 9,024 outputs
Outputs of similar age
#11,280
of 290,548 outputs
Outputs of similar age from PLoS Computational Biology
#12
of 120 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. 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 290,548 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 96% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.