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Rebooting the human mitochondrial phylogeny: an automated and scalable methodology with expert knowledge

Overview of attention for article published in BMC Bioinformatics, May 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Rebooting the human mitochondrial phylogeny: an automated and scalable methodology with expert knowledge
Published in
BMC Bioinformatics, May 2011
DOI 10.1186/1471-2105-12-174
Pubmed ID
Authors

Roberto Blanco, Elvira Mayordomo, Julio Montoya, Eduardo Ruiz-Pesini

Abstract

Mitochondrial DNA is an ideal source of information to conduct evolutionary and phylogenetic studies due to its extraordinary properties and abundance. Many insights can be gained from these, including but not limited to screening genetic variation to identify potentially deleterious mutations. However, such advances require efficient solutions to very difficult computational problems, a need that is hampered by the very plenty of data that confers strength to the analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Student > Master 3 11%
Professor > Associate Professor 3 11%
Student > Bachelor 2 7%
Lecturer 2 7%
Other 6 21%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 39%
Biochemistry, Genetics and Molecular Biology 5 18%
Computer Science 4 14%
Engineering 2 7%
Neuroscience 2 7%
Other 2 7%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 September 2013.
All research outputs
#5,581,026
of 22,723,682 outputs
Outputs from BMC Bioinformatics
#2,042
of 7,262 outputs
Outputs of similar age
#31,306
of 111,902 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 85 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 111,902 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.