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CMG-Biotools, a Free Workbench for Basic Comparative Microbial Genomics

Overview of attention for article published in PLOS ONE, April 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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6 X users
facebook
1 Facebook page

Citations

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99 Dimensions

Readers on

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121 Mendeley
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Title
CMG-Biotools, a Free Workbench for Basic Comparative Microbial Genomics
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0060120
Pubmed ID
Authors

Tammi Vesth, Karin Lagesen, Öncel Acar, David Ussery

Abstract

Today, there are more than a hundred times as many sequenced prokaryotic genomes than were present in the year 2000. The economical sequencing of genomic DNA has facilitated a whole new approach to microbial genomics. The real power of genomics is manifested through comparative genomics that can reveal strain specific characteristics, diversity within species and many other aspects. However, comparative genomics is a field not easily entered into by scientists with few computational skills. The CMG-biotools package is designed for microbiologists with limited knowledge of computational analysis and can be used to perform a number of analyses and comparisons of genomic data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 6 5%
United States 4 3%
Germany 1 <1%
Mexico 1 <1%
Chile 1 <1%
Estonia 1 <1%
Sweden 1 <1%
Unknown 106 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 24%
Student > Master 27 22%
Student > Ph. D. Student 25 21%
Professor 9 7%
Student > Bachelor 8 7%
Other 18 15%
Unknown 5 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 57%
Biochemistry, Genetics and Molecular Biology 18 15%
Immunology and Microbiology 7 6%
Environmental Science 4 3%
Computer Science 4 3%
Other 11 9%
Unknown 8 7%
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 16 April 2013.
All research outputs
#7,656,153
of 24,593,959 outputs
Outputs from PLOS ONE
#98,877
of 212,459 outputs
Outputs of similar age
#62,208
of 204,045 outputs
Outputs of similar age from PLOS ONE
#1,872
of 5,282 outputs
Altmetric has tracked 24,593,959 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 212,459 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 52% 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 204,045 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 68% of its contemporaries.
We're also able to compare this research output to 5,282 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 62% of its contemporaries.