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Application of community phylogenetic approaches to understand gene expression: differential exploration of venom gene space in predatory marine gastropods

Overview of attention for article published in BMC Ecology and Evolution, June 2014
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Title
Application of community phylogenetic approaches to understand gene expression: differential exploration of venom gene space in predatory marine gastropods
Published in
BMC Ecology and Evolution, June 2014
DOI 10.1186/1471-2148-14-123
Pubmed ID
Authors

Dan Chang, Thomas F Duda

Abstract

Predatory marine gastropods of the genus Conus exhibit substantial variation in venom composition both within and among species. Apart from mechanisms associated with extensive turnover of gene families and rapid evolution of genes that encode venom components ('conotoxins'), the evolution of distinct conotoxin expression patterns is an additional source of variation that may drive interspecific differences in the utilization of species' 'venom gene space'. To determine the evolution of expression patterns of venom genes of Conus species, we evaluated the expression of A-superfamily conotoxin genes of a set of closely related Conus species by comparing recovered transcripts of A-superfamily genes that were previously identified from the genomes of these species. We modified community phylogenetics approaches to incorporate phylogenetic history and disparity of genes and their expression profiles to determine patterns of venom gene space utilization.

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

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 32%
Student > Bachelor 6 19%
Researcher 4 13%
Other 2 6%
Student > Master 2 6%
Other 2 6%
Unknown 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 58%
Biochemistry, Genetics and Molecular Biology 3 10%
Business, Management and Accounting 1 3%
Computer Science 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 7 23%
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 07 June 2014.
All research outputs
#16,048,009
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#2,697
of 3,714 outputs
Outputs of similar age
#131,351
of 242,149 outputs
Outputs of similar age from BMC Ecology and Evolution
#46
of 73 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 24th percentile – i.e., 24% 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 242,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.