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Phamerator: a bioinformatic tool for comparative bacteriophage genomics

Overview of attention for article published in BMC Bioinformatics, October 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
390 Dimensions

Readers on

mendeley
279 Mendeley
citeulike
3 CiteULike
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Title
Phamerator: a bioinformatic tool for comparative bacteriophage genomics
Published in
BMC Bioinformatics, October 2011
DOI 10.1186/1471-2105-12-395
Pubmed ID
Authors

Steven G Cresawn, Matt Bogel, Nathan Day, Deborah Jacobs-Sera, Roger W Hendrix, Graham F Hatfull

Abstract

Bacteriophage genomes have mosaic architectures and are replete with small open reading frames of unknown function, presenting challenges in their annotation, comparative analysis, and representation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 <1%
Canada 2 <1%
Nepal 1 <1%
France 1 <1%
South Africa 1 <1%
Israel 1 <1%
India 1 <1%
Germany 1 <1%
Argentina 1 <1%
Other 3 1%
Unknown 265 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 19%
Student > Bachelor 53 19%
Student > Ph. D. Student 50 18%
Student > Master 28 10%
Student > Postgraduate 14 5%
Other 44 16%
Unknown 37 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 119 43%
Biochemistry, Genetics and Molecular Biology 49 18%
Immunology and Microbiology 23 8%
Engineering 8 3%
Medicine and Dentistry 7 3%
Other 25 9%
Unknown 48 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 November 2023.
All research outputs
#6,105,565
of 22,653,392 outputs
Outputs from BMC Bioinformatics
#2,321
of 7,236 outputs
Outputs of similar age
#36,766
of 135,954 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 90 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 135,954 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 72% of its contemporaries.
We're also able to compare this research output to 90 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 60% of its contemporaries.