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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Morphology and Gene Expression Screening with Morpholinos in Zebrafish Embryos
|
|---|---|
| Chapter number | 17 |
| Book title |
High-Throughput RNAi Screening
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-6337-9_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6335-5, 978-1-4939-6337-9
|
| Authors |
Li-Chuan Tseng, Chih-Hao Tang, Yun-Jin Jiang, Tseng, Li-Chuan, Tang, Chih-Hao, Jiang, Yun-Jin |
| Editors |
David O. Azorsa, Shilpi Arora |
| Abstract |
High-throughput screening with a loss-of-function strategy is a logical and efficient way to identify novel genes involved in biological processes of interest. In zebrafish, morpholinos have been developed as a convenient tool to knock down gene expression. Here, we describe procedures for systematic screening using morpholinos in zebrafish to identify novel deubiquitylases involved in convergent extension during gastrulation. In this example, we examine candidates based on embryonic morphology and molecular signals of whole mount in situ hybridization assay. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Professor > Associate Professor | 1 | 25% |
| Student > Bachelor | 1 | 25% |
| Student > Master | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 25% |
| Agricultural and Biological Sciences | 1 | 25% |
| Neuroscience | 1 | 25% |
| Unknown | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 September 2016.
All research outputs
#13,477,095
of 22,886,567 outputs
Outputs from Methods in molecular biology
#3,627
of 13,131 outputs
Outputs of similar age
#189,713
of 393,711 outputs
Outputs of similar age from Methods in molecular biology
#349
of 1,471 outputs
Altmetric has tracked 22,886,567 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 393,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 1,471 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 74% of its contemporaries.