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Large-scale analysis of microRNA evolution

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

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
41 Dimensions

Readers on

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

José 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.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 4%
United States 2 2%
United Kingdom 2 2%
Uruguay 2 2%
Germany 2 2%
Norway 1 <1%
Australia 1 <1%
Saudi Arabia 1 <1%
Mexico 1 <1%
Other 3 2%
Unknown 107 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 25%
Student > Ph. D. Student 31 24%
Student > Master 23 18%
Student > Bachelor 11 9%
Student > Postgraduate 8 6%
Other 16 13%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 60%
Biochemistry, Genetics and Molecular Biology 29 23%
Medicine and Dentistry 6 5%
Computer Science 3 2%
Mathematics 2 2%
Other 6 5%
Unknown 5 4%

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
#3,122,336
of 12,373,620 outputs
Outputs from BMC Genomics
#1,851
of 7,313 outputs
Outputs of similar age
#28,296
of 120,507 outputs
Outputs of similar age from BMC Genomics
#9
of 54 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 73% 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 120,507 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.