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Phage cluster relationships identified through single gene analysis

Overview of attention for article published in BMC Genomics, June 2013
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Title
Phage cluster relationships identified through single gene analysis
Published in
BMC Genomics, June 2013
DOI 10.1186/1471-2164-14-410
Pubmed ID
Authors

Kyle C Smith, Eduardo Castro-Nallar, Joshua NB Fisher, Donald P Breakwell, Julianne H Grose, Sandra H Burnett

Abstract

Phylogenetic comparison of bacteriophages requires whole genome approaches such as dotplot analysis, genome pairwise maps, and gene content analysis. Currently mycobacteriophages, a highly studied phage group, are categorized into related clusters based on the comparative analysis of whole genome sequences. With the recent explosion of phage isolation, a simple method for phage cluster prediction would facilitate analysis of crude or complex samples without whole genome isolation and sequencing. The hypothesis of this study was that mycobacteriophage-cluster prediction is possible using comparison of a single, ubiquitous, semi-conserved gene. Tape Measure Protein (TMP) was selected to test the hypothesis because it is typically the longest gene in mycobacteriophage genomes and because regions within the TMP gene are conserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Sweden 1 <1%
South Africa 1 <1%
Unknown 97 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 29 29%
Student > Ph. D. Student 19 19%
Researcher 16 16%
Student > Master 8 8%
Professor > Associate Professor 4 4%
Other 9 9%
Unknown 16 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 32%
Agricultural and Biological Sciences 32 32%
Immunology and Microbiology 5 5%
Computer Science 3 3%
Environmental Science 3 3%
Other 8 8%
Unknown 18 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 June 2013.
All research outputs
#16,099,609
of 23,881,329 outputs
Outputs from BMC Genomics
#6,842
of 10,793 outputs
Outputs of similar age
#124,620
of 199,328 outputs
Outputs of similar age from BMC Genomics
#72
of 114 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 199,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.