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Single cell genomics of bacterial pathogens: outlook for infectious disease research

Overview of attention for article published in Genome Medicine, November 2014
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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)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Single cell genomics of bacterial pathogens: outlook for infectious disease research
Published in
Genome Medicine, November 2014
DOI 10.1186/s13073-014-0108-0
Pubmed ID
Authors

Jeffrey S McLean, Roger S Lasken

Abstract

Genomic sequencing from single cells is a powerful tool in microbiology and holds great promise for infectious disease research. Vast numbers of uncultivable species and pathogens that persist at low abundance in environmental reservoirs are now accessible for genomic analysis.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Belgium 2 4%
China 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 31%
Student > Ph. D. Student 10 18%
Student > Master 7 13%
Other 3 5%
Student > Bachelor 2 4%
Other 7 13%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 44%
Biochemistry, Genetics and Molecular Biology 11 20%
Medicine and Dentistry 4 7%
Immunology and Microbiology 2 4%
Chemical Engineering 1 2%
Other 4 7%
Unknown 9 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 11 March 2015.
All research outputs
#894,964
of 9,723,582 outputs
Outputs from Genome Medicine
#297
of 821 outputs
Outputs of similar age
#25,282
of 241,518 outputs
Outputs of similar age from Genome Medicine
#19
of 52 outputs
Altmetric has tracked 9,723,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 821 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. This one has gotten more attention than average, scoring higher than 63% 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 241,518 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 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.