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A support vector machine based test for incongruence between sets of trees in tree space

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

googleplus
1 Google+ user

Citations

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5 Dimensions

Readers on

mendeley
31 Mendeley
citeulike
2 CiteULike
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Title
A support vector machine based test for incongruence between sets of trees in tree space
Published in
BMC Bioinformatics, January 2012
DOI 10.1186/1471-2105-13-210
Pubmed ID
Authors

David C Haws, Peter Huggins, Eric M O’Neill, David W Weisrock, Ruriko Yoshida

Abstract

The increased use of multi-locus data sets for phylogenetic reconstruction has increased the need to determine whether a set of gene trees significantly deviate from the phylogenetic patterns of other genes. Such unusual gene trees may have been influenced by other evolutionary processes such as selection, gene duplication, or horizontal gene transfer.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
India 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Researcher 5 16%
Professor > Associate Professor 2 6%
Lecturer 2 6%
Student > Bachelor 2 6%
Other 3 10%
Unknown 8 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 26%
Biochemistry, Genetics and Molecular Biology 4 13%
Chemistry 4 13%
Computer Science 2 6%
Medicine and Dentistry 2 6%
Other 3 10%
Unknown 8 26%

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 21 August 2012.
All research outputs
#7,762,554
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#3,175
of 4,576 outputs
Outputs of similar age
#70,530
of 125,550 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 34 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% 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 125,550 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.