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A branching process for homology distribution-based inference of polyploidy, speciation and loss

Overview of attention for article published in Algorithms for Molecular Biology, August 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
5 Mendeley
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Title
A branching process for homology distribution-based inference of polyploidy, speciation and loss
Published in
Algorithms for Molecular Biology, August 2019
DOI 10.1186/s13015-019-0153-8
Pubmed ID
Authors

Yue Zhang, Chunfang Zheng, David Sankoff

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Researcher 2 40%
Student > Bachelor 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Agricultural and Biological Sciences 2 40%
Earth and Planetary Sciences 1 20%
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 16 August 2019.
All research outputs
#13,134,836
of 23,153,184 outputs
Outputs from Algorithms for Molecular Biology
#87
of 264 outputs
Outputs of similar age
#161,246
of 346,857 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 6 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 has gotten more attention than average, scoring higher than 65% 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 346,857 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.