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Statistically consistent divide-and-conquer pipelines for phylogeny estimation using NJMerge

Overview of attention for article published in Algorithms for Molecular Biology, July 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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16 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Statistically consistent divide-and-conquer pipelines for phylogeny estimation using NJMerge
Published in
Algorithms for Molecular Biology, July 2019
DOI 10.1186/s13015-019-0151-x
Pubmed ID
Authors

Erin K. Molloy, Tandy Warnow

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 37%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 5%
Other 0 0%
Unknown 5 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 26%
Biochemistry, Genetics and Molecular Biology 4 21%
Computer Science 4 21%
Engineering 1 5%
Unknown 5 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 July 2019.
All research outputs
#15,329,366
of 23,577,761 outputs
Outputs from Algorithms for Molecular Biology
#126
of 251 outputs
Outputs of similar age
#203,456
of 346,717 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 5 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 251 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 346,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.