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A bootstrap based analysis pipeline for efficient classification of phylogenetically related animal miRNAs

Overview of attention for article published in BMC Genomics, March 2007
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Mentioned by

patent
1 patent

Citations

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15 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
6 CiteULike
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Title
A bootstrap based analysis pipeline for efficient classification of phylogenetically related animal miRNAs
Published in
BMC Genomics, March 2007
DOI 10.1186/1471-2164-8-66
Pubmed ID
Authors

Yong Huang, Xun Gu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 11%
France 1 3%
Unknown 30 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Professor > Associate Professor 5 14%
Other 4 11%
Student > Ph. D. Student 3 9%
Student > Postgraduate 2 6%
Other 6 17%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 43%
Computer Science 4 11%
Biochemistry, Genetics and Molecular Biology 4 11%
Engineering 3 9%
Social Sciences 1 3%
Other 1 3%
Unknown 7 20%
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 18 May 2016.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#32,257
of 89,824 outputs
Outputs of similar age from BMC Genomics
#14
of 24 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 58% 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 89,824 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.