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Non-parametric correction of estimated gene trees using TRACTION

Overview of attention for article published in Algorithms for Molecular Biology, January 2020
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1 X user

Citations

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4 Dimensions

Readers on

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7 Mendeley
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Title
Non-parametric correction of estimated gene trees using TRACTION
Published in
Algorithms for Molecular Biology, January 2020
DOI 10.1186/s13015-019-0161-8
Pubmed ID
Authors

Sarah Christensen, Erin K. Molloy, Pranjal Vachaspati, Ananya Yammanuru, Tandy Warnow

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Researcher 2 29%
Other 1 14%
Student > Doctoral Student 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 43%
Nursing and Health Professions 1 14%
Agricultural and Biological Sciences 1 14%
Computer Science 1 14%
Medicine and Dentistry 1 14%
Other 0 0%
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 16 January 2020.
All research outputs
#18,707,884
of 23,186,937 outputs
Outputs from Algorithms for Molecular Biology
#198
of 264 outputs
Outputs of similar age
#334,698
of 456,723 outputs
Outputs of similar age from Algorithms for Molecular Biology
#4
of 4 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 12th percentile – i.e., 12% 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 456,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.