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Computational workflow for analysis of gain and loss of genes in distantly related genomes

Overview of attention for article published in BMC Bioinformatics, September 2012
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1 tweeter

Citations

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Readers on

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55 Mendeley
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Title
Computational workflow for analysis of gain and loss of genes in distantly related genomes
Published in
BMC Bioinformatics, September 2012
DOI 10.1186/1471-2105-13-s15-s5
Pubmed ID
Authors

Andrey Ptitsyn, Leonid L Moroz

Abstract

Early evolution of animals led to profound changes in body plan organization, symmetry and the rise of tissue complexity including formation of muscular and nervous systems. This process was associated with massive restructuring of animal genomes as well as deletion, acquisition and rapid differentiation of genes from a common metazoan ancestor. Here, we present a simple but efficient workflow for elucidation of gene gain and gene loss within major branches of the animal kingdom.

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

Geographical breakdown

Country Count As %
China 2 4%
United Kingdom 2 4%
Norway 1 2%
Spain 1 2%
United States 1 2%
Unknown 48 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 10 18%
Student > Master 6 11%
Student > Doctoral Student 4 7%
Student > Postgraduate 2 4%
Other 4 7%
Unknown 16 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 45%
Biochemistry, Genetics and Molecular Biology 4 7%
Computer Science 3 5%
Neuroscience 2 4%
Engineering 2 4%
Other 2 4%
Unknown 17 31%

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 18 October 2012.
All research outputs
#3,058,171
of 4,507,652 outputs
Outputs from BMC Bioinformatics
#2,226
of 2,646 outputs
Outputs of similar age
#52,668
of 81,859 outputs
Outputs of similar age from BMC Bioinformatics
#72
of 95 outputs
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So far Altmetric has tracked 2,646 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.