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Reconciling multiple genes trees via segmental duplications and losses

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

Mentioned by

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2 X users

Citations

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16 Dimensions

Readers on

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6 Mendeley
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Title
Reconciling multiple genes trees via segmental duplications and losses
Published in
Algorithms for Molecular Biology, March 2019
DOI 10.1186/s13015-019-0139-6
Pubmed ID
Authors

Riccardo Dondi, Manuel Lafond, Celine Scornavacca

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Other 1 17%
Student > Ph. D. Student 1 17%
Professor > Associate Professor 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Agricultural and Biological Sciences 1 17%
Unknown 2 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 25 March 2019.
All research outputs
#15,708,425
of 23,344,526 outputs
Outputs from Algorithms for Molecular Biology
#148
of 264 outputs
Outputs of similar age
#220,981
of 352,509 outputs
Outputs of similar age from Algorithms for Molecular Biology
#7
of 11 outputs
Altmetric has tracked 23,344,526 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 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 34th percentile – i.e., 34% 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 352,509 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.