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Using the taxon-specific genes for the taxonomic classification of bacterial genomes

Overview of attention for article published in BMC Genomics, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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10 X users
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1 YouTube creator

Citations

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Title
Using the taxon-specific genes for the taxonomic classification of bacterial genomes
Published in
BMC Genomics, May 2015
DOI 10.1186/s12864-015-1542-0
Pubmed ID
Authors

Ankit Gupta, Vineet K Sharma

Abstract

The correct taxonomic assignment of bacterial genomes is a primary and challenging task. With the availability of whole genome sequences, the gene content based approaches appear promising in inferring the bacterial taxonomy. The complete genome sequencing of a bacterial genome often reveals a substantial number of unique genes present only in that genome which can be used for its taxonomic classification. In this study, we have proposed a comprehensive method which uses the taxon-specific genes for the correct taxonomic assignment of existing and new bacterial genomes. The taxon-specific genes identified at each taxonomic rank have been successfully used for the taxonomic classification of 2,342 genomes present in the NCBI genomes, 36 newly sequenced genomes, and 17 genomes for which the complete taxonomy is not yet known. This approach has been implemented for the development of a tool 'Microtaxi' which can be used for the taxonomic assignment of complete bacterial genomes. The taxon-specific gene based approach provides an alternate valuable methodology to carry out the taxonomic classification of newly sequenced or existing bacterial genomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Switzerland 1 1%
Brazil 1 1%
Sweden 1 1%
South Africa 1 1%
India 1 1%
United Kingdom 1 1%
Unknown 71 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 31%
Student > Ph. D. Student 15 19%
Student > Master 12 15%
Student > Doctoral Student 6 8%
Student > Postgraduate 4 5%
Other 9 12%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 46%
Biochemistry, Genetics and Molecular Biology 14 18%
Immunology and Microbiology 4 5%
Computer Science 2 3%
Nursing and Health Professions 1 1%
Other 6 8%
Unknown 15 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 January 2019.
All research outputs
#5,653,308
of 23,498,099 outputs
Outputs from BMC Genomics
#2,218
of 10,787 outputs
Outputs of similar age
#64,546
of 268,061 outputs
Outputs of similar age from BMC Genomics
#55
of 251 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 268,061 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 75% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.