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Identification of novel and conserved miRNAs involved in pollen development in Brassica campestris ssp. chinensi s by high-throughput sequencing and degradome analysis

Overview of attention for article published in BMC Genomics, February 2014
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1 tweeter

Citations

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54 Mendeley
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Title
Identification of novel and conserved miRNAs involved in pollen development in Brassica campestris ssp. chinensi s by high-throughput sequencing and degradome analysis
Published in
BMC Genomics, February 2014
DOI 10.1186/1471-2164-15-146
Pubmed ID
Authors

Jianxia Jiang, Meiling Lv, Ying Liang, Zhiming Ma, Jiashu Cao

Abstract

microRNAs (miRNAs) are endogenous, noncoding, small RNAs that have essential regulatory functions in plant growth, development, and stress response processes. However, limited information is available about their functions in sexual reproduction of flowering plants. Pollen development is an important process in the life cycle of a flowering plant and is a major factor that affects the yield and quality of crop seeds.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
India 1 2%
Turkey 1 2%
Unknown 51 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 28%
Researcher 13 24%
Student > Master 6 11%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 7 13%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 67%
Biochemistry, Genetics and Molecular Biology 7 13%
Computer Science 2 4%
Business, Management and Accounting 1 2%
Chemical Engineering 1 2%
Other 1 2%
Unknown 6 11%

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 21 February 2014.
All research outputs
#10,969,404
of 12,378,406 outputs
Outputs from BMC Genomics
#6,358
of 7,251 outputs
Outputs of similar age
#162,935
of 195,044 outputs
Outputs of similar age from BMC Genomics
#193
of 225 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 195,044 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.