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Identification and characterization of microRNAs in the flag leaf and developing seed of wheat (Triticum aestivum L.)

Overview of attention for article published in BMC Genomics, April 2014
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2 tweeters

Citations

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76 Mendeley
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Title
Identification and characterization of microRNAs in the flag leaf and developing seed of wheat (Triticum aestivum L.)
Published in
BMC Genomics, April 2014
DOI 10.1186/1471-2164-15-289
Pubmed ID
Authors

Ran Han, Chao Jian, Jinyang Lv, Yan, Qing Chi, Zhanjie Li, Qian Wang, Jin Zhang, Xiangli Liu, Huixian Zhao

Abstract

MicroRNAs (miRNAs) regulate various biological processes in plants. Considerable data are available on miRNAs involved in the development of rice, maize and barley. In contrast, little is known about miRNAs and their functions in the development of wheat. In this study, five small RNA (sRNA) libraries from wheat seedlings, flag leaves, and developing seeds were developed and sequenced to identify miRNAs and understand their functions in wheat development.

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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Paraguay 1 1%
Brazil 1 1%
Mexico 1 1%
Germany 1 1%
Unknown 70 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 33%
Researcher 14 18%
Student > Master 10 13%
Lecturer 4 5%
Student > Doctoral Student 4 5%
Other 12 16%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 67%
Biochemistry, Genetics and Molecular Biology 12 16%
Computer Science 2 3%
Business, Management and Accounting 1 1%
Veterinary Science and Veterinary Medicine 1 1%
Other 0 0%
Unknown 9 12%

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 November 2014.
All research outputs
#9,880,816
of 12,378,406 outputs
Outputs from BMC Genomics
#5,638
of 7,251 outputs
Outputs of similar age
#114,494
of 170,968 outputs
Outputs of similar age from BMC Genomics
#138
of 197 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 12th percentile – i.e., 12% 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 170,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.