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Different patterns of gene structure divergence following gene duplication in Arabidopsis

Overview of attention for article published in BMC Genomics, September 2013
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  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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4 X users

Citations

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72 Dimensions

Readers on

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54 Mendeley
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3 CiteULike
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Title
Different patterns of gene structure divergence following gene duplication in Arabidopsis
Published in
BMC Genomics, September 2013
DOI 10.1186/1471-2164-14-652
Pubmed ID
Authors

Yupeng Wang, Xu Tan, Andrew H Paterson

Abstract

Divergence in gene structure following gene duplication is not well understood. Gene duplication can occur via whole-genome duplication (WGD) and single-gene duplications including tandem, proximal and transposed duplications. Different modes of gene duplication may be associated with different types, levels, and patterns of structural divergence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Uruguay 1 2%
India 1 2%
Sri Lanka 1 2%
United States 1 2%
Unknown 49 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 28%
Student > Ph. D. Student 11 20%
Student > Bachelor 5 9%
Professor > Associate Professor 3 6%
Professor 3 6%
Other 11 20%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 56%
Biochemistry, Genetics and Molecular Biology 7 13%
Medicine and Dentistry 2 4%
Social Sciences 2 4%
Computer Science 1 2%
Other 2 4%
Unknown 10 19%
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 26 September 2013.
All research outputs
#13,317,637
of 22,723,682 outputs
Outputs from BMC Genomics
#4,936
of 10,626 outputs
Outputs of similar age
#105,810
of 203,069 outputs
Outputs of similar age from BMC Genomics
#40
of 141 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% 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 203,069 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.