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Evolutionary relationships between miRNA genes and their activity

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

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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9 X users

Citations

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24 Dimensions

Readers on

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67 Mendeley
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3 CiteULike
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Title
Evolutionary relationships between miRNA genes and their activity
Published in
BMC Genomics, December 2012
DOI 10.1186/1471-2164-13-718
Pubmed ID
Authors

Yan Zhu, Geir Skogerbø, Qianqian Ning, Zhen Wang, Biqing Li, Shuang Yang, Hong Sun, Yixue Li

Abstract

The emergence of vertebrates is characterized by a strong increase in miRNA families. MicroRNAs interact broadly with many transcripts, and the evolution of such a system is intriguing. However, evolutionary questions concerning the origin of miRNA genes and their subsequent evolution remain unexplained.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 3%
Uruguay 2 3%
Germany 1 1%
Netherlands 1 1%
Brazil 1 1%
United Kingdom 1 1%
Mexico 1 1%
Spain 1 1%
United States 1 1%
Other 1 1%
Unknown 55 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Researcher 14 21%
Student > Bachelor 9 13%
Student > Master 8 12%
Professor 6 9%
Other 13 19%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 61%
Biochemistry, Genetics and Molecular Biology 9 13%
Medicine and Dentistry 3 4%
Engineering 2 3%
Mathematics 1 1%
Other 5 7%
Unknown 6 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 June 2017.
All research outputs
#6,336,246
of 22,689,790 outputs
Outputs from BMC Genomics
#2,822
of 10,617 outputs
Outputs of similar age
#68,085
of 280,229 outputs
Outputs of similar age from BMC Genomics
#119
of 383 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 10,617 research outputs from this source. They receive a mean Attention Score of 4.7. 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 280,229 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 383 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 68% of its contemporaries.