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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Facile and Specific Assay for Quantifying MicroRNA by an Optimized RT-qPCR Approach
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0046890 |
| Pubmed ID | |
| Authors |
Qian Mei, Xiang Li, Yuanguang Meng, Zhiqiang Wu, Mingzhou Guo, Yali Zhao, Xiaobing Fu, Weidong Han |
| Abstract |
The spatiotemporal expression patterns of microRNAs (miRNAs) are important to the verification of their predicted function. RT-qPCR is the accepted technique for the quantification of miRNA expression; however, stem-loop RT-PCR and poly(T)-adapter assay, the two most frequently used methods, are not very convenient in practice and have poor specificity, respectively. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 88 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 30% |
| Student > Ph. D. Student | 19 | 21% |
| Student > Master | 11 | 12% |
| Student > Bachelor | 8 | 9% |
| Student > Doctoral Student | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 34% |
| Biochemistry, Genetics and Molecular Biology | 26 | 29% |
| Immunology and Microbiology | 4 | 4% |
| Unspecified | 2 | 2% |
| Veterinary Science and Veterinary Medicine | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 17 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 October 2012.
All research outputs
#12,860,995
of 22,679,690 outputs
Outputs from PLOS ONE
#100,131
of 193,573 outputs
Outputs of similar age
#89,766
of 172,607 outputs
Outputs of similar age from PLOS ONE
#2,062
of 4,537 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,573 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 47th percentile – i.e., 47% 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 172,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,537 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 53% of its contemporaries.