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Mendeley readers
Attention Score in Context
| Chapter title |
Gene Reporter Assay to Validate MicroRNA Targets in Drosophila S2 Cells.
|
|---|---|
| Chapter number | 14 |
| Book title |
miRNomics: MicroRNA Biology and Computational Analysis
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-62703-748-8_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-747-1, 978-1-62703-748-8
|
| Authors |
Bünyamin Akgül, Cağdaş Göktaş, Çağdaş Göktaş, Akgül, Bünyamin, Göktaş, Çağdaş |
| Abstract |
Bioinformatics programs have helped tremendously in identifying the targets of microRNAs, which are small noncoding RNAs that regulate gene expression posttranscriptionally. However, the partial complementarity between miRNAs and their targets hinders the accuracy of target prediction, necessitating the use of experimental validation procedures. Here, we describe a gene reporter assay typically used in our lab to validate putative miRNA-mRNA interactions in Drosophila S2 cells. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Librarian | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Other | 1 | 11% |
| Other | 2 | 22% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 44% |
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Computer Science | 1 | 11% |
| Social Sciences | 1 | 11% |
| Unknown | 1 | 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 26 November 2013.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from Methods in molecular biology
#8,199
of 13,410 outputs
Outputs of similar age
#233,464
of 309,121 outputs
Outputs of similar age from Methods in molecular biology
#302
of 576 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 309,121 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 576 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.