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PHYLOViZ: phylogenetic inference and data visualization for sequence based typing methods

Overview of attention for article published in BMC Bioinformatics, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

policy
1 policy source
twitter
8 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
456 Dimensions

Readers on

mendeley
301 Mendeley
citeulike
1 CiteULike
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Title
PHYLOViZ: phylogenetic inference and data visualization for sequence based typing methods
Published in
BMC Bioinformatics, May 2012
DOI 10.1186/1471-2105-13-87
Pubmed ID
Authors

Alexandre P Francisco, Cátia Vaz, Pedro T Monteiro, José Melo-Cristino, Mário Ramirez, João A Carriço

Abstract

With the decrease of DNA sequencing costs, sequence-based typing methods are rapidly becoming the gold standard for epidemiological surveillance. These methods provide reproducible and comparable results needed for a global scale bacterial population analysis, while retaining their usefulness for local epidemiological surveys. Online databases that collect the generated allelic profiles and associated epidemiological data are available but this wealth of data remains underused and are frequently poorly annotated since no user-friendly tool exists to analyze and explore it.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 4 1%
United States 3 <1%
France 3 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
Hungary 1 <1%
Sweden 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 282 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 24%
Researcher 60 20%
Student > Master 34 11%
Student > Bachelor 24 8%
Student > Doctoral Student 17 6%
Other 45 15%
Unknown 48 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 106 35%
Biochemistry, Genetics and Molecular Biology 48 16%
Immunology and Microbiology 25 8%
Computer Science 18 6%
Veterinary Science and Veterinary Medicine 12 4%
Other 32 11%
Unknown 60 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 January 2021.
All research outputs
#3,169,262
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#953
of 7,763 outputs
Outputs of similar age
#19,790
of 179,324 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 101 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 87% 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 179,324 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 88% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.