↓ Skip to main content

A phylogenomic approach to bacterial subspecies classification: proof of concept in Mycobacterium abscessus

Overview of attention for article published in BMC Genomics, December 2013
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
63 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A phylogenomic approach to bacterial subspecies classification: proof of concept in Mycobacterium abscessus
Published in
BMC Genomics, December 2013
DOI 10.1186/1471-2164-14-879
Pubmed ID
Authors

Joon Liang Tan, Tsung Fei Khang, Yun Fong Ngeow, Siew Woh Choo

Abstract

Mycobacterium abscessus is a rapidly growing mycobacterium that is often associated with human infections. The taxonomy of this species has undergone several revisions and is still being debated. In this study, we sequenced the genomes of 12 M. abscessus strains and used phylogenomic analysis to perform subspecies classification.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
France 1 2%
Sweden 1 2%
Canada 1 2%
Spain 1 2%
Japan 1 2%
United States 1 2%
Unknown 56 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 22%
Student > Ph. D. Student 11 17%
Professor > Associate Professor 6 10%
Student > Bachelor 4 6%
Other 4 6%
Other 11 17%
Unknown 13 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 32%
Biochemistry, Genetics and Molecular Biology 8 13%
Medicine and Dentistry 5 8%
Computer Science 4 6%
Immunology and Microbiology 4 6%
Other 5 8%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 December 2013.
All research outputs
#7,552,943
of 23,881,329 outputs
Outputs from BMC Genomics
#3,501
of 10,793 outputs
Outputs of similar age
#90,109
of 313,419 outputs
Outputs of similar age from BMC Genomics
#156
of 442 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 67% 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 313,419 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 442 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 64% of its contemporaries.