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Mendeley readers
Attention Score in Context
Title |
Genome-wide comparison of microRNAs and their targeted transcripts among leaf, flower and fruit of sweet orange
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Published in |
BMC Genomics, August 2014
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DOI | 10.1186/1471-2164-15-695 |
Pubmed ID | |
Authors |
Yuanlong Liu, Lun Wang, Dijun Chen, Xiaomeng Wu, Ding Huang, Lingling Chen, Li, Xiuxin Deng, Qiang Xu |
Abstract |
In plants, microRNAs (miRNAs) regulate gene expression mainly at the post-transcriptional level. Previous studies have demonstrated that miRNA-mediated gene silencing pathways play vital roles in plant development. Here, we used a high-throughput sequencing approach to characterize the miRNAs and their targeted transcripts in the leaf, flower and fruit of sweet orange. |
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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
Poland | 1 | 2% |
Argentina | 1 | 2% |
Unknown | 56 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 27% |
Researcher | 14 | 24% |
Student > Master | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Student > Bachelor | 3 | 5% |
Other | 5 | 8% |
Unknown | 14 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 29 | 49% |
Biochemistry, Genetics and Molecular Biology | 13 | 22% |
Business, Management and Accounting | 1 | 2% |
Unspecified | 1 | 2% |
Nursing and Health Professions | 1 | 2% |
Other | 1 | 2% |
Unknown | 13 | 22% |
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 20 August 2014.
All research outputs
#20,234,388
of 22,760,687 outputs
Outputs from BMC Genomics
#9,264
of 10,638 outputs
Outputs of similar age
#197,569
of 235,611 outputs
Outputs of similar age from BMC Genomics
#164
of 185 outputs
Altmetric has tracked 22,760,687 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 10,638 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 235,611 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 185 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.