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Mendeley readers
Attention Score in Context
| Chapter title |
Methods for Characterization of Alternative RNA Splicing.
|
|---|---|
| Chapter number | 18 |
| Book title |
Long Non-Coding RNAs
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3378-5_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3376-1, 978-1-4939-3378-5
|
| Authors |
Harvey, Samuel E, Cheng, Chonghui, Samuel E. Harvey, Chonghui Cheng, Harvey, Samuel E. |
| Editors |
Yi Feng, Lin Zhang |
| Abstract |
Quantification of alternative splicing to detect the abundance of differentially spliced isoforms of a gene in total RNA can be accomplished via RT-PCR using both quantitative real-time and semi-quantitative PCR methods. These methods require careful PCR primer design to ensure specific detection of particular splice isoforms. We also describe analysis of alternative splicing using a splicing "minigene" in mammalian cell tissue culture to facilitate investigation of the regulation of alternative splicing of a particular exon of interest. |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 142 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 23% |
| Student > Bachelor | 25 | 18% |
| Researcher | 14 | 10% |
| Student > Master | 14 | 10% |
| Student > Doctoral Student | 11 | 8% |
| Other | 13 | 9% |
| Unknown | 33 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 58 | 41% |
| Agricultural and Biological Sciences | 22 | 15% |
| Medicine and Dentistry | 5 | 4% |
| Neuroscience | 4 | 3% |
| Immunology and Microbiology | 4 | 3% |
| Other | 12 | 8% |
| Unknown | 37 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 August 2021.
All research outputs
#4,133,231
of 22,837,982 outputs
Outputs from Methods in molecular biology
#1,096
of 13,126 outputs
Outputs of similar age
#70,469
of 393,564 outputs
Outputs of similar age from Methods in molecular biology
#163
of 1,470 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% of its peers.
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 393,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.