| Title |
Phenotyping first-generation genome editing mutants: a new standard?
|
|---|---|
| Published in |
Mammalian Genome, July 2017
|
| DOI | 10.1007/s00335-017-9711-x |
| Pubmed ID | |
| Authors |
Lydia Teboul, Stephen A. Murray, Patrick M. Nolan |
| Abstract |
The unprecedented efficiency of the CRISPR/Cas9 system in genome engineering has opened the prospect of employing mutant founders for phenotyping cohorts, thus accelerating research projects by circumventing the requirement to generate cohorts using conventional two- or three-generation crosses. However, these first-generation mutants are often genetic mosaics, with a complex and difficult to define genetic make-up. Here, we discuss the potential benefits, challenges and scientific validity of such models. |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 2 | 25% |
| Australia | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 29% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Other | 3 | 10% |
| Researcher | 3 | 10% |
| Other | 1 | 3% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 35% |
| Agricultural and Biological Sciences | 8 | 26% |
| Medicine and Dentistry | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 23% |
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 07 August 2017.
All research outputs
#5,647,137
of 22,996,001 outputs
Outputs from Mammalian Genome
#252
of 1,127 outputs
Outputs of similar age
#88,920
of 316,703 outputs
Outputs of similar age from Mammalian Genome
#5
of 14 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,127 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 77% 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 316,703 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 71% of its contemporaries.
We're also able to compare this research output to 14 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 64% of its contemporaries.