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Mendeley readers
Attention Score in Context
Title |
Identification of miRNAs involved in pear fruit development and quality
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Published in |
BMC Genomics, November 2014
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DOI | 10.1186/1471-2164-15-953 |
Pubmed ID | |
Authors |
Jun Wu, Defu Wang, Yufeng Liu, Long Wang, Xin Qiao, Shaoling Zhang |
Abstract |
MicroRNAs (miRNAs) are a class of small, endogenous RNAs that take part in regulating genes through mediating gene expressions at the post-transcriptional level in plants. Previous studies have reported miRNA identification in various plants ranging from model plants to perennial fruit trees. However, the role of miRNAs in pear (Pyrus bretschneideri) fruit development is not clear. Here, we investigated the miRNA profiles of pear fruits from different time stages during development with Illumina HiSeq 2000 platform and bioinformatics analysis. Quantitative real-time PCR was used to validate the expression levels of miRNAs. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
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 % |
---|---|---|
Poland | 1 | 2% |
Unknown | 58 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 24% |
Student > Master | 9 | 15% |
Researcher | 8 | 14% |
Student > Bachelor | 3 | 5% |
Student > Postgraduate | 3 | 5% |
Other | 8 | 14% |
Unknown | 14 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 26 | 44% |
Biochemistry, Genetics and Molecular Biology | 15 | 25% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Unspecified | 1 | 2% |
Social Sciences | 1 | 2% |
Other | 0 | 0% |
Unknown | 15 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 November 2014.
All research outputs
#15,739,529
of 25,374,647 outputs
Outputs from BMC Genomics
#5,756
of 11,244 outputs
Outputs of similar age
#144,280
of 275,741 outputs
Outputs of similar age from BMC Genomics
#165
of 352 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 46th percentile – i.e., 46% 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 275,741 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 352 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.