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A general strategy to determine the congruence between a hierarchical and a non-hierarchical classification

Overview of attention for article published in BMC Bioinformatics, November 2007
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

mendeley
41 Mendeley
citeulike
5 CiteULike
connotea
2 Connotea
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Title
A general strategy to determine the congruence between a hierarchical and a non-hierarchical classification
Published in
BMC Bioinformatics, November 2007
DOI 10.1186/1471-2105-8-442
Pubmed ID
Authors

Antonio Marco, Ignacio Marín

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 5%
Russia 1 2%
United States 1 2%
Unknown 37 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 32%
Student > Ph. D. Student 9 22%
Student > Master 5 12%
Student > Postgraduate 4 10%
Student > Bachelor 3 7%
Other 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 61%
Computer Science 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Physics and Astronomy 2 5%
Medicine and Dentistry 2 5%
Other 5 12%
Unknown 1 2%
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 18 July 2012.
All research outputs
#20,161,674
of 22,671,366 outputs
Outputs from BMC Bioinformatics
#6,820
of 7,247 outputs
Outputs of similar age
#73,243
of 75,955 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 46 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% 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 75,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.