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Identification of soybean seed developmental stage-specific and tissue-specific miRNA targets by degradome sequencing

Overview of attention for article published in BMC Genomics, January 2012
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Mentioned by

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3 tweeters

Citations

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97 Dimensions

Readers on

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88 Mendeley
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Title
Identification of soybean seed developmental stage-specific and tissue-specific miRNA targets by degradome sequencing
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-310
Pubmed ID
Authors

Md Shamimuzzaman, Lila Vodkin

Abstract

MicroRNAs (miRNAs) regulate the expression of target genes by mediating gene silencing in both plants and animals. The miRNA targets have been extensively investigated in Arabidopsis and rice using computational prediction, experimental validation by overexpression in transgenic plants, and by degradome or PARE (parallel analysis of RNA ends) sequencing. However, miRNA targets mostly remain unknown in soybean (Glycine max). More specifically miRNA mediated gene regulation at different seed developmental stages in soybean is largely unexplored. In order to dissect miRNA guided gene regulation in soybean developing seeds, we performed a transcriptome-wide experimental method using degradome sequencing to directly detect cleaved miRNA targets.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Germany 1 1%
Norway 1 1%
India 1 1%
Canada 1 1%
Argentina 1 1%
Unknown 82 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 25%
Researcher 20 23%
Student > Master 15 17%
Professor > Associate Professor 7 8%
Student > Doctoral Student 4 5%
Other 13 15%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 70%
Biochemistry, Genetics and Molecular Biology 12 14%
Computer Science 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Social Sciences 1 1%
Other 0 0%
Unknown 9 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 October 2012.
All research outputs
#7,762,694
of 12,373,620 outputs
Outputs from BMC Genomics
#4,640
of 7,313 outputs
Outputs of similar age
#68,202
of 121,093 outputs
Outputs of similar age from BMC Genomics
#37
of 70 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 121,093 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.