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phyloXML: XML for evolutionary biology and comparative genomics

Overview of attention for article published in BMC Bioinformatics, October 2009
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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 (80th percentile)

Mentioned by

policy
1 policy source
twitter
1 tweeter
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
405 Dimensions

Readers on

mendeley
357 Mendeley
citeulike
17 CiteULike
connotea
1 Connotea
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Title
phyloXML: XML for evolutionary biology and comparative genomics
Published in
BMC Bioinformatics, October 2009
DOI 10.1186/1471-2105-10-356
Pubmed ID
Authors

Mira V Han, Christian M Zmasek

Abstract

Evolutionary trees are central to a wide range of biological studies. In many of these studies, tree nodes and branches need to be associated (or annotated) with various attributes. For example, in studies concerned with organismal relationships, tree nodes are associated with taxonomic names, whereas tree branches have lengths and oftentimes support values. Gene trees used in comparative genomics or phylogenomics are usually annotated with taxonomic information, genome-related data, such as gene names and functional annotations, as well as events such as gene duplications, speciations, or exon shufflings, combined with information related to the evolutionary tree itself. The data standards currently used for evolutionary trees have limited capacities to incorporate such annotations of different data types.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 357 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 5%
Germany 6 2%
United Kingdom 4 1%
Brazil 4 1%
China 4 1%
Spain 3 <1%
Australia 3 <1%
Sweden 3 <1%
Netherlands 3 <1%
Other 17 5%
Unknown 293 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 89 25%
Researcher 89 25%
Student > Master 41 11%
Student > Bachelor 35 10%
Student > Postgraduate 17 5%
Other 65 18%
Unknown 21 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 212 59%
Biochemistry, Genetics and Molecular Biology 49 14%
Environmental Science 21 6%
Computer Science 17 5%
Engineering 6 2%
Other 22 6%
Unknown 30 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 08 October 2021.
All research outputs
#3,713,124
of 19,141,800 outputs
Outputs from BMC Bioinformatics
#1,525
of 6,520 outputs
Outputs of similar age
#59,407
of 308,924 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 19,141,800 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,520 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 76% 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 308,924 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 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them