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Selection and mutation on microRNA target sequences during rice evolution

Overview of attention for article published in BMC Genomics, October 2008
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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 (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
89 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
Selection and mutation on microRNA target sequences during rice evolution
Published in
BMC Genomics, October 2008
DOI 10.1186/1471-2164-9-454
Pubmed ID
Authors

Xingyi Guo, Yijie Gui, Yu Wang, Qian-Hao Zhu, Chris Helliwell, Longjiang Fan

Abstract

MicroRNAs (miRNAs) posttranscriptionally down-regulate gene expression by binding target mRNAs. Analysis of the evolution of miRNA binding sites is helpful in understanding the co-evolution between miRNAs and their targets. To understand this process in plants a comparative analysis of miRNA-targeted duplicated gene pairs derived from a well-documented whole genome duplication (WGD) event in combination with a population genetics study of six experimentally validated miRNA binding sites in rice (O. sativa) was carried out.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Norway 2 2%
Netherlands 1 1%
France 1 1%
Sweden 1 1%
Colombia 1 1%
Argentina 1 1%
United Kingdom 1 1%
Unknown 77 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 37%
Student > Ph. D. Student 22 25%
Student > Master 8 9%
Professor > Associate Professor 7 8%
Student > Postgraduate 3 3%
Other 6 7%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 66%
Biochemistry, Genetics and Molecular Biology 14 16%
Medicine and Dentistry 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Immunology and Microbiology 1 1%
Other 1 1%
Unknown 11 12%
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 01 November 2008.
All research outputs
#5,651,845
of 22,707,247 outputs
Outputs from BMC Genomics
#2,347
of 10,624 outputs
Outputs of similar age
#25,976
of 89,197 outputs
Outputs of similar age from BMC Genomics
#9
of 37 outputs
Altmetric has tracked 22,707,247 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 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 89,197 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 70% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.