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Distinguishing successive ancient polyploidy levels based on genome-internal syntenic alignment

Overview of attention for article published in BMC Bioinformatics, December 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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3 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Distinguishing successive ancient polyploidy levels based on genome-internal syntenic alignment
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3202-x
Pubmed ID
Authors

Yue Zhang, Chunfang Zheng, David Sankoff

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 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 %
Researcher 2 29%
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Professor 1 14%
Student > Master 1 14%
Other 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 57%
Agricultural and Biological Sciences 2 29%
Unknown 1 14%
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 26 January 2020.
All research outputs
#16,390,863
of 24,147,581 outputs
Outputs from BMC Bioinformatics
#5,521
of 7,506 outputs
Outputs of similar age
#266,512
of 437,742 outputs
Outputs of similar age from BMC Bioinformatics
#139
of 220 outputs
Altmetric has tracked 24,147,581 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 18th percentile – i.e., 18% 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 437,742 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 220 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.