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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Q-System: A Versatile Expression System for Drosophila.
|
|---|---|
| Chapter number | 3 |
| Book title |
Drosophila
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-6371-3_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6369-0, 978-1-4939-6371-3
|
| Authors |
Olena Riabinina, Christopher J. Potter, Riabinina, Olena, Potter, Christopher J. |
| Editors |
Christian Dahmann |
| Abstract |
Binary expression systems are flexible and versatile genetic tools in Drosophila. The Q-system is a recently developed repressible binary expression system that offers new possibilities for transgene expression and genetic manipulations. In this review chapter, we focus on current state-of-the-art Q-system tools and reagents. We also discuss in vivo applications of the Q-system, together with GAL4/UAS and LexA/LexAop systems, for simultaneous expression of multiple effectors, intersectional labeling, and clonal analysis. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 18% |
| Student > Ph. D. Student | 19 | 15% |
| Student > Master | 17 | 13% |
| Student > Bachelor | 13 | 10% |
| Student > Doctoral Student | 5 | 4% |
| Other | 11 | 8% |
| Unknown | 42 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 45 | 35% |
| Agricultural and Biological Sciences | 17 | 13% |
| Neuroscience | 14 | 11% |
| Engineering | 2 | 2% |
| Linguistics | 1 | <1% |
| Other | 7 | 5% |
| Unknown | 44 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 20 December 2022.
All research outputs
#2,392,838
of 23,383,275 outputs
Outputs from Methods in molecular biology
#426
of 13,334 outputs
Outputs of similar age
#42,759
of 396,408 outputs
Outputs of similar age from Methods in molecular biology
#59
of 1,474 outputs
Altmetric has tracked 23,383,275 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,334 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 96% 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 396,408 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 89% of its contemporaries.
We're also able to compare this research output to 1,474 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.