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Mendeley readers
Attention Score in Context
Title |
Identification of novel and conserved miRNAs involved in pollen development in Brassica campestris ssp. chinensi s by high-throughput sequencing and degradome analysis
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Published in |
BMC Genomics, February 2014
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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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 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 | 52 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 27% |
Researcher | 13 | 24% |
Student > Master | 6 | 11% |
Student > Bachelor | 4 | 7% |
Student > Doctoral Student | 4 | 7% |
Other | 8 | 15% |
Unknown | 5 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 37 | 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
#20,221,866
of 22,745,803 outputs
Outputs from BMC Genomics
#9,259
of 10,634 outputs
Outputs of similar age
#193,067
of 224,442 outputs
Outputs of similar age from BMC Genomics
#132
of 155 outputs
Altmetric has tracked 22,745,803 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 10,634 research outputs from this source. They receive a mean Attention Score of 4.7. 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 224,442 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 155 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.