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Large-scale analysis of microRNA evolution

Overview of attention for article published in BMC Genomics, June 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Citations

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52 Dimensions

Readers on

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131 Mendeley
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6 CiteULike
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Title
Large-scale analysis of microRNA evolution
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-218
Pubmed ID
Authors

José Afonso Guerra-Assunção, Anton J Enright

Abstract

In animals, microRNAs (miRNA) are important genetic regulators. Animal miRNAs appear to have expanded in conjunction with an escalation in complexity during early bilaterian evolution. Their small size and high-degree of similarity makes them challenging for phylogenetic approaches. Furthermore, genomic locations encoding miRNAs are not clearly defined in many species. A number of studies have looked at the evolution of individual miRNA families. However, we currently lack resources for large-scale analysis of miRNA evolution.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 4%
Germany 2 2%
United States 2 2%
Uruguay 2 2%
Norway 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Colombia 1 <1%
Mexico 1 <1%
Other 3 2%
Unknown 112 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 24%
Researcher 31 24%
Student > Master 24 18%
Student > Bachelor 11 8%
Student > Postgraduate 8 6%
Other 16 12%
Unknown 9 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 58%
Biochemistry, Genetics and Molecular Biology 29 22%
Medicine and Dentistry 6 5%
Computer Science 4 3%
Mathematics 2 2%
Other 6 5%
Unknown 8 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 December 2012.
All research outputs
#7,968,106
of 25,394,764 outputs
Outputs from BMC Genomics
#3,482
of 11,250 outputs
Outputs of similar age
#54,888
of 180,884 outputs
Outputs of similar age from BMC Genomics
#35
of 143 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,250 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 67% 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 180,884 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 67% of its contemporaries.
We're also able to compare this research output to 143 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 74% of its contemporaries.