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Hierarchical clustering of maximum parsimony reconciliations

Overview of attention for article published in BMC Bioinformatics, November 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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15 Dimensions

Readers on

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3 Mendeley
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Title
Hierarchical clustering of maximum parsimony reconciliations
Published in
BMC Bioinformatics, November 2019
DOI 10.1186/s12859-019-3223-5
Pubmed ID
Authors

Ross Mawhorter, Ran Libeskind-Hadas

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Business, Management and Accounting 1 33%
Unknown 1 33%
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 30 November 2019.
All research outputs
#15,867,545
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#5,494
of 7,400 outputs
Outputs of similar age
#279,340
of 461,991 outputs
Outputs of similar age from BMC Bioinformatics
#152
of 229 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 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 17th percentile – i.e., 17% 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 461,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.