↓ Skip to main content

Faster evolving Drosophila paralogs lose expression rate and ubiquity and accumulate more non-synonymous SNPs

Overview of attention for article published in Biology Direct, January 2014
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Faster evolving Drosophila paralogs lose expression rate and ubiquity and accumulate more non-synonymous SNPs
Published in
Biology Direct, January 2014
DOI 10.1186/1745-6150-9-2
Pubmed ID
Authors

Lev Y Yampolsky, Michael A Bouzinier

Abstract

Duplicated genes can indefinately persist in genomes if either both copies retain the original function due to dosage benefit (gene conservation), or one of the copies assumes a novel function (neofunctionalization), or both copies become required to perform the function previously accomplished by a single copy (subfunctionalization), or through a combination of these mechanisms. Different models of duplication retention imply different predictions about substitution rates in the coding portion of paralogs and about asymmetry of these rates.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Germany 1 4%
Canada 1 4%
Unknown 19 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Master 5 22%
Student > Ph. D. Student 5 22%
Student > Bachelor 2 9%
Professor 2 9%
Other 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 65%
Biochemistry, Genetics and Molecular Biology 7 30%
Unspecified 1 4%

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 21 January 2014.
All research outputs
#19,007,097
of 21,358,901 outputs
Outputs from Biology Direct
#550
of 579 outputs
Outputs of similar age
#247,367
of 287,339 outputs
Outputs of similar age from Biology Direct
#6
of 6 outputs
Altmetric has tracked 21,358,901 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 579 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 1st percentile – i.e., 1% 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 287,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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.