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Identification of chilling stress-responsive tomato microRNAs and their target genes by high-throughput sequencing and degradome analysis

Overview of attention for article published in BMC Genomics, December 2014
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Title
Identification of chilling stress-responsive tomato microRNAs and their target genes by high-throughput sequencing and degradome analysis
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1130
Pubmed ID
Authors

Xue Cao, Zhen Wu, Fangling Jiang, Rong Zhou, Zeen Yang

Abstract

MicroRNAs (miRNAs) are a class of noncoding small RNAs (sRNAs) that are 20-24 nucleotides (nt) in length. Extensive studies have indicated that miRNAs play versatile roles in plants, functioning in processes such as growth, development and stress responses. Chilling is a common abiotic stress that seriously affects plants growth and development. Recently, chilling-responsive miRNAs have been detected in several plant species. However, little is known about the miRNAs in the model plant tomato. 'LA1777' (Solanum habrochaites) has been shown to survive chilling stress due to its various characteristics.

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X Demographics

The data shown below were collected from the profiles of 3 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Norway 1 1%
Brazil 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 30%
Researcher 15 20%
Student > Master 8 11%
Student > Bachelor 4 5%
Student > Postgraduate 3 4%
Other 9 12%
Unknown 14 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 57%
Biochemistry, Genetics and Molecular Biology 13 17%
Mathematics 1 1%
Chemistry 1 1%
Unknown 18 24%
Attention Score in Context

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 19 December 2014.
All research outputs
#17,734,890
of 22,774,233 outputs
Outputs from BMC Genomics
#7,555
of 10,642 outputs
Outputs of similar age
#226,962
of 331,253 outputs
Outputs of similar age from BMC Genomics
#172
of 242 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 331,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.