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Identification of miRNAs and their targets from Brassica napus by high-throughput sequencing and degradome analysis

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Identification of miRNAs and their targets from Brassica napus by high-throughput sequencing and degradome analysis
Published in
BMC Genomics, August 2012
DOI 10.1186/1471-2164-13-421
Pubmed ID
Authors

Miao Y Xu, Yun Dong, Qiu X Zhang, Lan Zhang, Yan Z Luo, Jie Sun, Yun L Fan, Lei Wang

Abstract

MicroRNAs (miRNAs) are endogenous regulators of a broad range of physiological processes and act by either degrading mRNA or blocking its translation. Oilseed rape (Brassica napus) is one of the most important crops in China, Europe and other Asian countries with publicly available expressed sequence tags (ESTs) and genomic survey sequence (GSS) databases, but little is known about its miRNAs and their targets. To date, only 46 miRNAs have been identified in B. napus.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
United States 1 2%
Philippines 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Researcher 13 20%
Student > Master 10 16%
Professor > Associate Professor 9 14%
Student > Doctoral Student 4 6%
Other 8 13%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 56%
Biochemistry, Genetics and Molecular Biology 14 22%
Nursing and Health Professions 1 2%
Computer Science 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 10 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 January 2013.
All research outputs
#1,818,507
of 12,373,620 outputs
Outputs from BMC Genomics
#1,015
of 7,313 outputs
Outputs of similar age
#18,225
of 125,589 outputs
Outputs of similar age from BMC Genomics
#10
of 54 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% 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 125,589 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 85% 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 85% of its contemporaries.