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PhyloNet: a software package for analyzing and reconstructing reticulate evolutionary relationships

Overview of attention for article published in BMC Bioinformatics, July 2008
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
396 Dimensions

Readers on

mendeley
336 Mendeley
citeulike
7 CiteULike
connotea
3 Connotea
Title
PhyloNet: a software package for analyzing and reconstructing reticulate evolutionary relationships
Published in
BMC Bioinformatics, July 2008
DOI 10.1186/1471-2105-9-322
Pubmed ID
Authors

Cuong Than, Derek Ruths, Luay Nakhleh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 336 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 1%
United States 5 1%
Netherlands 2 <1%
Spain 2 <1%
United Kingdom 2 <1%
Ecuador 1 <1%
Austria 1 <1%
Japan 1 <1%
Germany 1 <1%
Other 0 0%
Unknown 316 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 24%
Researcher 69 21%
Student > Master 34 10%
Student > Doctoral Student 27 8%
Student > Bachelor 18 5%
Other 55 16%
Unknown 51 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 176 52%
Biochemistry, Genetics and Molecular Biology 48 14%
Computer Science 19 6%
Environmental Science 7 2%
Mathematics 5 1%
Other 27 8%
Unknown 54 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 October 2020.
All research outputs
#7,657,585
of 23,312,088 outputs
Outputs from BMC Bioinformatics
#3,075
of 7,383 outputs
Outputs of similar age
#29,277
of 82,899 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 29 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,383 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 50% 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 82,899 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.