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Mendeley readers
Attention Score in Context
| Chapter title |
High-Throughput RNAi Screening
|
|---|---|
| Chapter number | 13 |
| Book title |
High-Throughput RNAi Screening
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-6337-9_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6335-5, 978-1-4939-6337-9
|
| Authors |
Zhou, Jia, Tong, Chao, Jia Zhou, Chao Tong |
| Editors |
David O. Azorsa, Shilpi Arora |
| Abstract |
Drosophila is an ideal model system for addressing important questions in biology. The use of RNA interference (RNAi) to knockdown gene expression in fly tissues is both very effective and relatively simple. In the past few decades, genome-wide UAS-RNAi transgenic libraries and thousands of Gal4 strains have been generated and have facilitated large-scale in vivo RNAi screening. Here, we discuss methods for the design and performance of a large-scale in vivo RNAi screen in Drosophila. Furthermore, methods for the validation of results and analysis of data will be introduced. |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 40% |
| Unspecified | 1 | 20% |
| Professor | 1 | 20% |
| Researcher | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 40% |
| Unspecified | 1 | 20% |
| Neuroscience | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 01 November 2016.
All research outputs
#4,248,954
of 23,577,654 outputs
Outputs from Methods in molecular biology
#1,111
of 13,410 outputs
Outputs of similar age
#71,171
of 396,838 outputs
Outputs of similar age from Methods in molecular biology
#163
of 1,472 outputs
Altmetric has tracked 23,577,654 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 13,410 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 396,838 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 82% of its contemporaries.
We're also able to compare this research output to 1,472 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.