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Detection of horizontal transfer of individual genes by anomalous oligomer frequencies

Overview of attention for article published in BMC Genomics, June 2012
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Citations

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6 Dimensions

Readers on

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29 Mendeley
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1 CiteULike
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Title
Detection of horizontal transfer of individual genes by anomalous oligomer frequencies
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-245
Pubmed ID
Authors

Jeff Elhai, Hailan Liu, Arnaud Taton

Abstract

Understanding the history of life requires that we understand the transfer of genetic material across phylogenetic boundaries. Detecting genes that were acquired by means other than vertical descent is a basic step in that process. Detection by discordant phylogenies is computationally expensive and not always definitive. Many have used easily computed compositional features as an alternative procedure. However, different compositional methods produce different predictions, and the effectiveness of any method is not well established.

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

Geographical breakdown

Country Count As %
Brazil 2 7%
Chile 1 3%
Germany 1 3%
Spain 1 3%
United States 1 3%
Unknown 23 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 28%
Student > Ph. D. Student 7 24%
Professor 4 14%
Student > Master 3 10%
Professor > Associate Professor 2 7%
Other 3 10%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 62%
Biochemistry, Genetics and Molecular Biology 5 17%
Computer Science 1 3%
Physics and Astronomy 1 3%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 2 7%
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 19 June 2012.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from BMC Genomics
#4,932
of 11,244 outputs
Outputs of similar age
#100,324
of 179,567 outputs
Outputs of similar age from BMC Genomics
#55
of 148 outputs
Altmetric has tracked 25,373,627 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 54% 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 179,567 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 148 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 60% of its contemporaries.