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Dissecting the human microbiome with single-cell genomics

Overview of attention for article published in Genome Medicine, June 2017
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
40 X users
facebook
1 Facebook page

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
118 Mendeley
citeulike
1 CiteULike
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Title
Dissecting the human microbiome with single-cell genomics
Published in
Genome Medicine, June 2017
DOI 10.1186/s13073-017-0448-7
Pubmed ID
Authors

Andrew C. Tolonen, Ramnik J. Xavier

Abstract

Recent advances in genome sequencing of single microbial cells enable the assignment of functional roles to members of the human microbiome that cannot currently be cultured. This approach can reveal the genomic basis of phenotypic variation between closely related strains and can be applied to the targeted study of immunogenic bacteria in disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 117 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Researcher 23 19%
Student > Bachelor 9 8%
Student > Doctoral Student 8 7%
Student > Master 8 7%
Other 17 14%
Unknown 28 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 24%
Agricultural and Biological Sciences 24 20%
Immunology and Microbiology 10 8%
Medicine and Dentistry 6 5%
Computer Science 4 3%
Other 15 13%
Unknown 31 26%
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 25 July 2017.
All research outputs
#1,169,295
of 23,572,509 outputs
Outputs from Genome Medicine
#237
of 1,467 outputs
Outputs of similar age
#25,052
of 318,268 outputs
Outputs of similar age from Genome Medicine
#4
of 30 outputs
Altmetric has tracked 23,572,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done well, scoring higher than 83% 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 318,268 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 92% of its contemporaries.
We're also able to compare this research output to 30 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.