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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The prediction of the porcine pre-microRNAs in genome-wide based on support vector machine (SVM) and homology searching
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-729 |
| Pubmed ID | |
| Authors |
Zhen Wang, Kan He, Qishan Wang, Yumei Yang, Yuchun Pan |
| Abstract |
MicroRNAs (miRNAs) are a class of small non-coding RNAs that regulate gene expression by targeting mRNAs for translation repression or mRNA degradation. Although many miRNAs have been discovered and studied in human and mouse, few studies focused on porcine miRNAs, especially in genome wide. |
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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 50% |
| Student > Ph. D. Student | 2 | 20% |
| Professor > Associate Professor | 2 | 20% |
| Student > Master | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 30% |
| Computer Science | 3 | 30% |
| Biochemistry, Genetics and Molecular Biology | 2 | 20% |
| Veterinary Science and Veterinary Medicine | 1 | 10% |
| Engineering | 1 | 10% |
| Other | 0 | 0% |
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 27 December 2012.
All research outputs
#20,178,031
of 22,691,736 outputs
Outputs from BMC Genomics
#9,242
of 10,617 outputs
Outputs of similar age
#248,624
of 280,466 outputs
Outputs of similar age from BMC Genomics
#340
of 382 outputs
Altmetric has tracked 22,691,736 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 10,617 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 280,466 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 382 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.